The study uses DSP as the core and develops agile tracking and surveillance system. It includes overall designof the system, construction of the hardware and compilation of the software. The system hardware consists of DC, colorcamera, cradle head, SEED-VPM642 DSP development board or pan-tilt-zoom control system. The paper analyzes commonalgorithms of motion target detection. According to the characteristics of the acquired video images and the real-timerequirements of the system, based on adjacent frame difference, the paper proposes continuous three-frame image differencemethod to detect moving objects and uses centroid algorithm as the core algorithm of human motion tracking. Thepaper uses the character of human complexion and applies face detection algorithm based on complexion, which can rapidlyand accurately get the cleat face information of moving people. And the study selects the sum of the absolute value ofgray difference as automatic focusing evaluation function of the design. Optimizing common focusing mountain-climbsearching algorithm makes the system focus rapid and reliable, which can achieve the objective of automatic detection andtrace on moving body and human head location.
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