Video Motion Objects Segmentation 视频运动对象分割
The detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.
视频运动目标检测与跟踪算法是计算机视觉领域的一个核心课题,也是智能视频监控系统的关键底层技术。
A new approach to extract video objects from video sequence by combining of orientation information measure, color and motion information is presented.
将视频图像的方向信息测度、颜色和运动信息相结合的视频对象分割算法可以解决这一问题。
According to the MPEG-4 verification model, video sequence must be segmented into semantic video objects. Their motion, shape and texture information are coded respectively.
按照MPEG - 4的校验模型,视频序列必须先分割成具有语义意义的视频对象,然后对其运动、形状和纹理分别进行编码。
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