Coverage control and copperative processing are two kernels and hot topics in the research field of the target detecting application based on video sensor networks.

This paper focuses on worst-case coverage detection and repair algorithm for video sensor networks with directional sensing ability.

In recent years, the demand for fine-grained and precise environment surveillance increases, which leads to the advent of the research on video sensor network.

In order to reduce network load,energy consumption and delay in video sensor network,a layered multi-quality image fusion method based on attention is proposed.

As the advanced sensor networks,the audio/video sensor networks can provide rich multimedia information,which doubtlessly benefit data hungry applications such as environment monitoring,health care,emergency response and video security.

Based on the specific requirements for wireless video sensor networks(WVSNs),a low complexity video coding algorithm based on motion detection is proposed.

meanwhile, how to organize and transmit visual data in low-power and bandwidth-limited VSN is open research issue.

Based on video sensors,the video imaging system collects various types of nearshore images.

The existing wireless sensor networks coverage algorithms are usually for static nodes,and it is unsuitable to measure coverage area by traditional circle models in the wireless sensor networks with video sensors.