1,721,063 research outputs found
Evaluating new technology for biodiversity monitoring: Are drone surveys biased?
No full textThis dataset was used to develop and test the models describe in the article, 'Evaluating new technology for biodiversity monitoring: Are drone surveys biased?' by Evangeline Corcoran, Simon Denman and Grant Hamilton accepted for publication in Ecology and Evolution in March 2021.
The data contained in BehaviourandDetection_ModelDev.csv were used in model development and the data contained in BehaviourandDetection_Testing.csv was used to test the models developed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
SAIVT-BuildingMonitoring
No full text<h1>SAIVT-BuildingMonitoring</h1>
<h2>Overview</h2>
<p>The SAIVT-BuildingMonitoring database contains footage from 12 cameras capturing a single work day at a busy university campus building. A portion of the database has been annotated for crowd counting and pedestrian throughput estimation, and is freely available for download. Contact Dr Simon Denman for more information.</p>
<h2>Licensing</h2>
<p>The SAIVT-BuildingMonitoring database is © 2015 QUT, and is licensed under the .</p>
<h2>Attribution</h2>
<p>To attribute this database, use the citation provided on our publication at : <br />
<br />
S. Denman, C. Fookes, D. Ryan, & S. Sridharan (2015) Large scale monitoring of crowds and building utilisation: A new database and distributed approach. In 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 25-28 August 2015, Karlsruhe, Germany.</p>
<h2>Acknowledgement in publications</h2>
<p>In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications:</p>
<p>'We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-BuildingMonitoring database for our research'.</p>
<h2>Installing the SAIVT-BuildingMonitoring Database</h2>
<p>Download, join, and unzip the following archives</p>
<ul>
<li>Annotated Data
<ul>
<li> (2GB, md5sum: 50e63a6ee394751fad75dc43017710e8)</li>
<li> (2GB, md5sum: 49859f0046f0b15d4cf0cfafceb9e88f)</li>
<li> (2GB, md5sum: b3c7386204930bc9d8545c1f4eb0c972)</li>
<li> (2GB, md5sum: 4606fc090f6020b771f74d565fc73f6d)</li>
<li> (632 MB, md5sum: 116aade568ccfeaefcdd07b5110b815a)</li>
</ul>
</li>
<li>Full Sequences
<ul>
<li> (2 GB, md5sum: 068ed015e057afb98b404dd95dc8fbb3)</li>
<li> (2GB, md5sum: 763f46fc1251a2301cb63b697c881db2)</li>
<li> (2GB, md5sum: 75e7090c6035b0962e2b05a3a8e4c59e)</li>
<li> (2GB, md5sum: 34481b1e81e06310238d9ed3a57b25af)</li>
<li> (2GB, md5sum: 9ef895c2def141d712a557a6a72d3bcc)</li>
<li> (2GB, md5sum: 2a76e6b199dccae0113a8fd509bf8a04)</li>
<li> (2GB, md5sum: 77c659ab6002767cc13794aa1279f2dd)</li>
<li> (2GB, md5sum: 703f54f297b4c93e53c662c83e42372c)</li>
<li> (2GB, md5sum: 65ebdab38367cf22b057a8667b76068d)</li>
<li> (2GB, md5sum: bb5f6527f65760717cd819b826674d83)</li>
<li> (2GB, md5sum: 01a562f7bd659fb9b81362c44838bfb1)</li>
<li> (2GB, md5sum: 5e4a0d4bb99cde17158c1f346bbbdad8)</li>
<li> (2GB, md5sum: 9c454d9381a1c8a4e8dc68cfaeaf4622)</li>
<li> (2GB, md5sum: 8ff2b03b22d0c9ca528544193599dc18)</li>
<li> (2GB, md5sum: 86efac1962e2bef3afd3867f8dda1437)</li>
</ul>
</li>
</ul>
<p>To rejoin the invidual parts, use:</p>
<p>cat SAIVT-BuildingMonitoring-AnnotatedData.tar.gz.* > SAIVT-BuildingMonitoring-AnnotatedData.tar.gz</p>
<p>cat SAIVT-BuildingMonitoring-FullSequences.tar.gz.* > SAIVT-BuildingMonitoring-FullSequences.tar.gz</p>
<p> </p>
<p>At this point, you should have the following data structure and the SAIVT-BuildingMonitoring database is installed:</p>
<pre>
SAIVT-BuildingMonitoring
+-- AnnotatedData
+-- P_Lev_4_Entry_Way_ip_107
+-- Frames
+-- Entry_ip107_00000.png
+-- Entry_ip107_00001.png
+-- ...
+-- GroundTruth.xml
+-- P_Lev_4_Entry_Way_ip_107-20140730-090000.avi
+-- perspectivemap.xml
+-- ROI.xml
+-- P_Lev_4_external_419_ip_52
+-- ...
+-- P_Lev_4_External_Lift_foyer_ip_70
+-- Frames
+-- Entry_ip107_00000.png
+-- Entry_ip107_00001.png
+-- ...
+-- GroundTruth.xml
+-- P_Lev_4_External_Lift_foyer_ip_70-20140730-090000.avi
+-- perspectivemap.xml
+-- ROI.xml
+-- VG-GroundTruth.xml
+-- VG-ROI.xml
+-- ...
+-- Calibration
+-- Lev4Entry_ip107.xml
+-- Lev4Ext_ip51.xml
+-- ...
+-- FullSequences
+-- P_Lev_4_Entry_Way_ip_107-20140730-090000.avi
+-- P_Lev_4_external_419_ip_52-20140730-090000.avi
+-- ...
+-- MotionSegmentation
+-- Lev4Entry_ip107.avi
+-- Lev4Entry_ip107-Full.avi
+-- Lev4Ext_ip51.avi
+-- Lev4Ext_ip51-Full.avi
+-- ...
+-- Denman 2015 - Large scale monitoring of crowds and building utilisation.pdf
+-- LICENSE.txt
+-- README.txt</pre>
<p>Data is organised into two sections, AnnotatedData and FullSequences. Additional data that may be of use is provided in Calibration and MotionSegmentation.</p>
<p>AnnotatedData contains the two hour sections that have been annotated (from 11am to 1pm), alongside the ground truth and any other data generated during the annotation process. Each camera has a directory, the contents of which depends on what the camera has been annotated for.</p>
<p>All cameras will have:</p>
<ul>
<li>a video file, such as "P_Lev_4_Entry_Way_ip_107-20140730-090000.avi", which is the 2 hour video from 11am to 1pm</li>
<li>a "Frames" directory, that has 120 frames taken at minute intervals from the sequence. There are the frames that have been annotated for crowd counting. Even if the camera has not been annotated for crowd counting (i.e. P_Lev_4_Main_Entry_ip_54), this directory is included.</li>
</ul>
<p>The following files exist for crowd counting cameras:</p>
<ul>
<li>
<p>"GroundTruth.xml", which contains the ground truth in the following format: </p>
</li>
</ul>
<pre>
<code><qutcrowd-count-gt interval-scale="1800">
<frame id="0">
<ped x="175" y="112" />
</frame>
<frame id="1">
<ped x="149" y="97" />
<ped x="187" y="97" />
</frame>
....
<qutcrowd-count-gt> </code></pre>
<p>The file contains a list of annotated frames, and the location of the approximate centre of mass of any people within the frame. The "interval-scale" attribute indicates the distance between the annotated frames in the original video.</p>
<ul>
<li>"perspectivemap.xml", a file that defines the perspective map used to correct for perspective distortion. Parameters for a bilinear perspective map are included along with the original annotations that were used to generate the map.</li>
<li>"ROI.xml", which defines the region of interest as follows:
<pre>
<code><ROI num-points="8" image-width="768" image-height="576">
<point x="0" y="152" /<
<point x="239" y="117" />
<point x="341" y="107" />
<point x="428" y="110" />
<point x="519" y="116" />
<point x="763" y="159" />
<point x="760" y="575" />
<point x="0" y="575" />
</ROI> </code></pre>
<code> </code> This defines a polygon within the image that is used for crowd counting. Only people within this region are annotated.</li>
</ul>
<p>For cameras that have been annotated with a virtual gate, the following additional files are present:</p>
<ul>
<li>VG-GroundTruth.xml, which contains ground truth in the following format:
<pre>
</pre>
<pre>
<code><qutcrowd-flow-gt both-directions="0">
<ROI num-points="4" image-width="856" image-height="480">
<point x="622" y="91" />
<point x="837" y="242" />
<point x="837" y="282" />
<point x="622" y="131" />
</ROI>
<doi>0<doi>
<ped frame="1889" x="662" y="144" direction="1" />
<ped frame="3615" x="667" y="137" direction="0" />
<ped frame="4851" x="770" y="212" direction="1" />
<ped frame="5153" x="659" y="129" direction="1" />
<ped frame="6317" x="655" y="147" direction="1" />
...
</qutcrowd-flow-gt> </code></pre>
<code> </code> The ROI is repeated within the ground truth, and a direction of interest (the tag) is also included, which indicates the primary direction for the gait (i.e. the direction that denotes a positive count. Each pedestrian crossing is represented by a tag, which contains the approximate frame the crossing occurred in (when the centre of mass was at the centre of the gait region), the x and y location of the centre of mass of the person during the crossing, and the direction (0 being the primary direction, 1 being the secondary).</li>
<li>VG-ROI.xml, which contains the region of interest for the virtual gate</li>
</ul>
<p>The Calibration directory contains camera calibration for the cameras (with the exception of ip107, which has an uneven ground plane and is thus difficult to calibrate). All calibration is done using Tsai's method.</p>
<p>FullSequences contains the full sequences (9am - 5pm) for each of the cameras.</p>
<p>MotionSegmentation contains motion segmentation videos for all clips. Segmentation videos for both the full sequences and the 2 hour annotated segments are provided. Motion segmentation is done using the ViBE algorithm. Motion videos for the entire sequence have "Full" in the file name before the extension (i.e. Lev4Entry_ip107-Full.avi).</p>
<p>Further information on the SAIVT-BuildingMonitoring database in our paper: S. Denman, C. Fookes, D. Ryan, & S. Sridharan (2015) . In 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 25-28 August 2015, Karlsruhe, Germany.</p>
<p>This paper is also available alongside this document in the file: 'Denman 2015 - Large scale monitoring of crowds and building utilisation.pdf'.</p>
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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