DocumentCode :
3412715
Title :
Real-time accurate crowd counting based on RGB-D information
Author :
Huiyuan Fu ; Huadong Ma ; Hongtian Xiao
Author_Institution :
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2685
Lastpage :
2688
Abstract :
Real-time accurate crowd counting is one of important tasks in intelligent visual surveillance systems. Most previous works can only count passing people robustly without heavy occlusions which are very common in the practical surveillance scenes. To solve this difficult problem, we propose a new method for crowd counting for RGB-D (RGB plus depth) data using a commodity depth camera. In our method, we first detect each head-shoulder of the passing or still person in the surveillance region with fast template matching based on depth information including pedestrian filling with convex hull segmentation. Then, we track and count each detected head-shoulder based on RGB information bidirectionally. By using this approach, we have built a practical system for robust and fast crowd counting. Extensive experimental results show that our method achieves significant improvement comparing to states-of-the-art approach, and the built system is not only robust to heavy occlusions, but also can be deployed in the real time crowd counting application scenes.
Keywords :
image colour analysis; image matching; image segmentation; image sensors; object detection; pedestrians; video surveillance; RGB plus depth; RGB-D information; commodity depth camera; convex hull segmentation; depth information; fast crowd counting; fast template matching; head-shoulder; intelligent visual surveillance systems; passing people; pedestrian filling; real-time accurate crowd counting; surveillance region; Buildings; Cameras; Image segmentation; Real-time systems; Robustness; Skeleton; Surveillance; RGB-D data; Surveillance; crowd counting; people counting; real time system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467452
Filename :
6467452
Link To Document :
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