This paper proposes a detecting and tracking scheme for automatic checking attendance of traffic
controllers in level crossing by recognizing their warning waistcoats. Considering of the actual requirement of
rapidity and validity, this paper employs techniques of motion detection, color segmentation and feature matching
to deal with the challenging problems of illumination varying, light reflection and disturbance. Therefore, the
task of distinguishing the target from candidates can be fulfilled accurately. Once a target being detected, the
established color models are modified through learning color of the detected target, and then Cam-shift algorithm
is employed to track this target smoothly. The experiments in real scenes demonstrate that this method has a
great capability to detect and track traffic controllers in complex level crossing environment accurately, and the
comparisons further demonstrate the validity of the proposed method.
XIANG Ke* (向 可), WANG Xuan-yin (王宣银), CAO Song-xiao (曹晓松), FU Xiao-jie (富晓杰)
. Intelligent Video Surveillance for Checking Attendance of Traffic Controllers in Level Crossing[J]. Journal of Shanghai Jiaotong University(Science), 2014
, 19(1)
: 41
-49
.
DOI: 10.1007/s12204-013-1464-4
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