DocumentCode :
3564484
Title :
Automated crowd flow estimation enhanced by crowdsourcing
Author :
Ribera, Javier ; Tahboub, Khalid ; Delp, Edward J.
Author_Institution :
Univ. Politec. de Catalunya, Barcelona, Spain
fYear :
2014
Firstpage :
174
Lastpage :
179
Abstract :
Video surveillance systems that contain a large number of cameras makes the continuous monitoring of the video feeds nearly an impossible task. If the information from these many cameras is to be exploited automatic video analytic techniques must be developed. In this paper, we present improvements to a previously developed crowd flow estimation method. We use crowdsourcing techniques to enhance the performance. An experimental evaluation is conducted using publicly available datasets.
Keywords :
computerised monitoring; video surveillance; automated crowd flow estimation enhancement; automatic video analytic techniques; camera; crowdsourcing technique; video feed continuous monitoring; video surveillance system; Crowdsourcing; Error analysis; Estimation; Support vector machine classification; Training; Uncertainty; Vectors; crowd analysis; crowd flow estimation; crowdsourcing; people counting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, NAECON 2014 - IEEE National
Print_ISBN :
978-1-4799-4690-7
Type :
conf
DOI :
10.1109/NAECON.2014.7045798
Filename :
7045798
Link To Document :
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