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《Opto-Electronic Engineering》 2007-04
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Optimization for the algorithm of human body recognition based on DSPs

CAO Dan-hua,TANG Jin-kuan,WU Yu-bin ( School of Optoelectronic Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China )  
The algorithm of human body recognition includes four parts of human body extracting, head locating, limb segmentation and body modeling. The principle of the algorithm is proposed, and the main functions and reasons to restrain algorithm speed are analyzed. The runtime of the algorithm to segment human body and limbs takes up 96% of the whole algorithm. It is found that Fourier transform and moving vector calculation are major factors to limit the speed of limb segmentation. It is also shown that mean filter and morphologic filter are bottleneck of the algorithm of human body extracting. According to hardware structure of TMS320C6000 DSPs, the optimum strategies for algorithm are put forward, which include compiler optimal parameters selecting, intrinsic function using, loops disassembling, memory dependencies eliminating, and standard library function calling. Experimental results show that the algorithm speed is well improved.
【CateGory Index】: TP391.41
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