Though Two-stage video object detectors cannot perform detection in real time, the accuracy of them is normally higher than that one-stage detectors. One essence two-stage can easily use feature information from adjacent frames to augment key frame features. How extract and exploit temporal features stream for needs further exploration. CenterNet an anchor-free detector regress bounding boxes h...

Motion object tracking in real-time environment and video is a popular topic in multimedia processing. Various related researches proposed to handle particular cases in recent years. We proposed several modified methods about background modeling, foreground detection, moving object modeling and matching to achieve the goal of tracking multiple objects in indoor and outdoor scenarios. In our exp...

The goal of our research is efficient tracking of color objects from a sequence of live images for use in real-time applications including surveillance, video conferencing and robot navigation. Tracking can be defined as the problem of estimating the trajectory of an object in the image plane as it moves around a scene. The need for high power computers, the availability of high quality and ine...

Recognition of the objects in video can offers significant benefits to video retrieval including automatic annotation and content based queries based on the object characteristic, detecting particular object in video is an important stop toward semantic understanding of visual imagery. Thus this paper will give the basic information about object recognition and particle filters. It estimates th...