Aiming at the shortcoming of existing video surveillance system, an intelligent surveillance system which can accomplish automatic detection and classification of moving objects by making use of the computer system is presented.

Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.

Tactics of location management for moving objects with uncertainty;

Extending the valid time of continuous group nearest neighbor query with moving objects;

E-logistics System Based on Moving Objects;

Research on motion object segmentation algorithm based on temporal decomposition by wavelet transform;

In the paper,a video motion object segmentation algorithm based on CNN is presented,and its experimental results on video sequences confirm that the proposed algorithm is feasible.

A new method to detect motion objects was presented,by comparing the texture diversity between the foreground image and the background image.

Research of Multi-Moving-Object Segmentation Technology Based on SOFM in MPEG Compressed Domain;

264 is replacing MPEG-2/4 in many multimedia applications,but moving object segmentation in the H.

Due to the development of streaming media and emerging of content-based functionalities in MPEG-4, moving object segmentation technology becomes a popular research in video field.

This paper proposes a novel moving object segmentation algorithm based on kernel density estimation and edge information to solve the color similarity problem between foreground and background.