1,721,100 research outputs found
Thirty years of Graph Matching in Pattern Recognition
No full textA recent paper posed the question: "Graph Matching: What are we really talking about?". Far from providing a definite answer to that question, in this paper we will try to characterize the role that graphs play within the Pattern Recognition field. To this aim two taxonomies are presented and discussed. The first includes almost all the graph matching algorithms proposed from the late seventies, and describes the different classes of algorithms. The second taxonomy considers the types of common applications of graph-based techniques in the Pattern Recognition and Machine Vision field
An Effective Method For Counting People in Video-surveillance Applications
No full textAbstract: This paper presents a method to count people for video surveillance applications. The proposed method adopts the indirect approach, according to which the number of persons in the scene is inferred from the value of some easily detectable scene features.
In particular, the proposed method first detects the SURF interest points associated to moving people, then determines the number of persons in the scene by a weigthed sum of the SURF points. In order to take into account the fact that, due to the perspective, the number of points per person tends to decrease the farther the
person is from the camera, the weight attributed to each point depends on its coordinates in the image plane.
In the design of the method, particular attention has been paid in order to obtain a system that can be easily deployed and configured.
In the experimental evaluation, the method has been extensively compared with the algorithms by Albiol et al. and by Conte et al., which both adopt a similar approach. The experimentations have been carried out on the PETS 2009 dataset and the results show that the proposed method obtains a high value of the accuracy
Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application
No full text
A Method Based on the Indirect Approach for Counting People in Crowded Scenes
No full textThis paper presents a method for counting people in a scene by establishing a mapping between some scene features and the number of people avoiding the complex foreground detection problem. The method is based on the use of SURF features and of an ∈-SVR regressor to provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective
- …
