全景视频中多运动对象检测与跟踪方法OA北大核心CSTPCD

The general solution of detection and tracking technology in panoramic videos is to detect and track moving objects after converting 360°video into two-dimensional video by projection.However,the fixed spherical projection will lead to discontinuous projection boundaries in panoramic videos.When a moving object is at a projection boundary,conventional spherical projection methods may divide the object into multiple parts,resulting in the missed or false detec-tion.A multi-motion object detection and tracking method in panoramic video combining equi-rectangular projection(ERP)and cube map projection(CMP)is proposed.It uses suitable CMP stitching frames to reduce the polar distortion and compensate for the discontinuity of projection boundaries of ERP frames,solving the detection of objects at projection boundaries or polar distortion.Then,multi-motion object tracking is solved by fusing multiple features of perceptual hashing,spherical centroid and motion direction.Experimental results show that the proposed scheme can effectively alleviate the false detection caused by discontinuous projection boundaries and correctly track moving objects with occlusion,frame boundary shuttle or polar distortion.