DocumentCode :
1790907
Title :
Based on the Substation 3D Real-Scene High-Voltage Warning Area of the Colliding Detection Algorithm Research
Author :
Chen Hao ; Hu Yapin ; Yan Jingyi ; Tang Yu ; Li Yang
Author_Institution :
Electr. Power Res. Inst., Guangdong Power Grid Corp., Guangzhou, China
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
117
Lastpage :
120
Abstract :
Research the collision detection of the unattended substation high-voltage warning area purposed to find a balance between real-time and accuracy, we proposed a detection algorithm based on the moving capsule body collide high-voltage warning area within the scope of the video crossing areas: centered on each camera, built a combination of polynomials of the high-voltage warning area polygon, used the 3D human body vertical projection circle with the combination of polynomials of simultaneous equations multiple verification, achieved the detection that judge from the multi-angle whether the moving human touched the high-voltage warning area. It avoids the insufficient evidence due to the angle off or video blind zone existed possibly by the single camera, and improved the colliding detection accuracy. Simulation results show the algorithm is very simple and high efficient, also fast and accurate.
Keywords :
cameras; substations; colliding detection algorithm research; detection algorithm; high-voltage warning area polygon; moving capsule body collide high-voltage warning area; substation 3d real-scene high-voltage warning area; unattended substation high-voltage warning area; video blind zone; video crossing areas; Cameras; Collision avoidance; Equations; Mathematical model; Monitoring; Substations; Visualization; Capsule Bounding Box; Colliding Detection Algorithm; High-voltage Warning Area; Substation 3D Real-Scene;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.36
Filename :
7003499
Link To Document :
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