The Study on the Techniques on Gun-Dome Camera Cooperative Human-Tracing
Zhiguo Yan, Kaili Gu · 2014
Currently, how to automatically realize acquisition, refining and fast retrieval of the target information in surveillance video has become an urgent demand in public security visual surveillance field. This paper proposes a new gun-dome camera cooperative system which solves the above problem partly. The system adopts master-slave static panorama-variable view dual-camera cooperative video-monitoring system. In the proposed architecture, Deformable Part Model (DPM) method realizes real-time detection of pedestrian. The look-up table method is proved feasible in dual-camera cooperative calibration procedure while the depth information of moving target changes slightly. In addition, the experimental results show the effectiveness and efficiency of the dual-camera human-tracing system.