DocumentCode :
3247455
Title :
Real-time video surveillance system for piggery based on H.264 and embedded system
Author :
Weixing, Zhu ; Xiangping, Li
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear :
2010
fDate :
20-21 Oct. 2010
Firstpage :
409
Lastpage :
412
Abstract :
A real-time video surveillance system for piggery was designed to overcome the disadvantages of traditional observation methods for behavior of pigs. In this system, embedded system technology, H.264 video encoding technology and network communication technology were combined for real-time monitoring the behavior of pigs. According to directional centre-biased motion vector distribution and the characteristic that the motion in the horizontal direction is more impetuous than vertical direction in the surveillance video for piggery, thin diamond search (TDS) algorithm was proposed in this paper. The algorithm is based on thin diamond search pattern, and has the feature of fast speed while maintaining high precision of diamond search algorithm. The experimental results showed that the computation complexity and coding time of video coding are reduced in the TDS algorithm, so that the real-time performance of the surveillance video was improved significantly. This study provides a convenient way and low-cost method for remote monitoring of animal behavior. Therefore, the system has a wide application prospect in intelligent precision breeding industry.
Keywords :
computational complexity; embedded systems; farming; optimisation; search problems; video coding; video surveillance; H.264 video encoding technology; animal behavior; coding time; computation complexity; directional centre-biased motion vector distribution; embedded system technology; horizontal direction; intelligent precision breeding industry; network communication technology; pig behavior monitoring; piggery; real-time video surveillance system; remote monitoring; thin diamond search algorithm; PSNR; Pulse width modulation; H.264; TDS algorithm; embedded system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
Type :
conf
DOI :
10.1109/KAM.2010.5646277
Filename :
5646277
Link To Document :
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