Vanishing Point-based Line Sampling for Real-time People Localization

In this paper, we propose a real-time multicamera people localization method based on line sampling of image foregrounds. For each view, these line samples are originated from the vanishing point of lines perpendicular to the ground plane. With these line samples, vertical line samples in the 3-D sc...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2013-07, Vol.23 (7), p.1209-1223
Main Authors: LO, Kuo-Hua, CHUANG, Jen-Hui
Format: Article
Language:English
Subjects:
2-D/3-D line sampling
Applied sciences
Cameras
Detection, estimation, filtering, equalization, prediction
Electronic equipment and fabrication. Passive components, printed wiring boards, connectics
Electronics
Exact sciences and technology
Humans
Image color analysis
Image reconstruction
Image segmentation
Information, signal and communications theory
multicamera
people localization
real time
Real-time systems
Sampling, quantization
Signal and communications theory
Signal, noise
Target tracking
Telecommunications and information theory
vanishing point
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Summary:In this paper, we propose a real-time multicamera people localization method based on line sampling of image foregrounds. For each view, these line samples are originated from the vanishing point of lines perpendicular to the ground plane. With these line samples, vertical line samples in the 3-D scene can be reconstructed for potential human locations. After some efficient geometric refinement and filtering procedures, the remaining qualified 3-D line samples are clustered and integrated for the identification of locations and heights of people in the scene. Both indoor and outdoor scenarios are examined to demonstrate the effectiveness of our approach in handling serious occlusion in crowed scenes. The average localization error of less than 15 cm for average viewing distance of 15m suggests that our method can be applied to a broad range of surveillance applications that require the real-time computation of localization without using special hardware for acceleration.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2013.2242592