Title :
A Method Based on the Indirect Approach for Counting People in Crowded Scenes
Author :
Conte, D. ; Foggia, P. ; Percannella, G. ; Vento, M.
Author_Institution :
Dipt. di Ing. dell´´Inf. ed Ing. Elettr., Fisciano, Italy
fDate :
Aug. 29 2010-Sept. 1 2010
Abstract :
This 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.
Keywords :
feature extraction; object detection; regression analysis; support vector machines; SURF feature; SVR regressor; complex foreground detection; counting people; crowded scene; scene feature mapping; Cameras; Clustering algorithms; Detectors; Estimation; Feature extraction; Image edge detection; Training;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-8310-5
DOI :
10.1109/AVSS.2010.86
