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http://dx.doi.org/10.5369/JSST.2015.24.1.54

Dividing Occluded Pedestrians in Wide Angle Images for the Vision-Based Surveillance and Monitoring  

Park, Jaehyeong (Department of Electronic Engineering, Graduate School, Daegu University)
Do, Yongtae (Division of Electronic & Electrical Engineering, Daegu University)
Publication Information
Journal of Sensor Science and Technology / v.24, no.1, 2015 , pp. 54-61 More about this Journal
Abstract
In recent years, there has been increasing use of automatic surveillance and monitoring systems based on vision sensors. Humans are often the most important target in the systems, but processing human images is difficult due to the small sizes and flexible motions. Particularly, occlusion among pedestrians in camera images brings practical problems. In this paper, we propose a novel method to separate image regions of occluded pedestrians. A camera equipped with a wide angle lens is attached to the ceiling of a building corridor for sensing pedestrians with a wide field of view. The output images of the camera are processed for the human detection, tracking, identification, distortion correction, and occlusion handling. We resolve the occlusion problem adaptively depending on the angles and positions of their heads. Experimental results showed that the proposed method is more efficient and accurate compared with existing methods.
Keywords
Occlusion; Video surveillance and monitoring; Wide angle lens; Head detection; Pedestrian tracking;
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