The Design And Implementation Of Multi-sight Traffic Video Joint Interactive System

In recent years, video surveillance systems are widely used in a number of areas,including traffic safety. The development of human-computer interaction improves theefficiency of traffic video surveillance systems. Most current traffic video surveillancesystems are designed with a simple interactive operation, only providing real-timemonitoring and accessing to surveillance video. But it doesn’t provide any interactivedesign for video content processing analysis. When analyzing and tracking some targetsfrom video data, users will have to do the analysis by manual. It’s time-consuming, whilereducing the user experience for the traffic video surveillance system.In order to solve the above problems, the paper proposes a multi-sight traffic videojoint-tracking interactive system for urban streets. Through the surveillance videopreprocessing, such as video semantic information extraction, the structural information ofthe moving target in the video is processed and stored. The study of the paper includes:(1)The system provides a function of analyzing the path of the vehicles. It will display thevehicle’s driving path on the map according to the output of the calculation module. Afteruser’ interaction corrections, a correct travel path will be drawn on the map for the lateranalysis.(2) After the unstructured video data is structured and described, the video datatraffic information is integrated. The system can search based on the content and keywords.(3) Through the model-view-controller mode, the traffic video data, video extractedfeature information and geographic information are effectively combined. And aninteractive map Mashup platform based on joint analysis of the multi-sight traffic video isbuilt.In order to verify the effectiveness of the system,23campus-camera surveillancevideo data is processed and displayed. The results show that users can efficiently find themoving vehicle target, and get the driving paths of the vehicles. After more interactionswith the system, you can get the vehicle moving path and the full description ofcharacteristic information. The average response time for the interactive system is abo ut2seconds. When the number of concurrent requests is below130, the system can respondquickly with a good interaction.