Design And Implantation Of Target Detection And Tracking Algorithm For Intelligent Monitoring

Object tracking is one of the most important research topics in the field of image processing and computer vision,and it is widely used in intelligent city,smart transportation,medical image processing,video surveillance and UAV cruise.The object tracking algorithm gives the initialization parameters(general position and size)of the target object in the first frame of the video sequence,and then tracks the object in the video sequence through modeling description,location search and model updating.Although the traditional target tracking algorithm can solve the real-time tracking problem,they usually return the real time position of the target object in the form of rectangular box and can't separate the object from the background in real-time.This thesis designs and implements a target tracking algorithm.In addition to the real-time tracking of the target object,the algorithm of this thesis can realize real-time extraction of the outline of the target object while tracking the target object.Mainly including:(1)This thesis analyzes the research background and significance of intelligent surveillance system in the construction of smart city and analyzes the research status and existing problems of algorithms such as image segmentation algorithm,image alignment algorithm and target tracking algorithm.(2)The DRLSE model based on the level set partitioning algorithm is analyzed in detail.Because the traditional level set algorithm can't segment the target in the color image,this thesis proposes a DRLSE algorithm based on the Bayesian classification model to realize the target object segment in color image quickly.(3)This thesis introduces the relevant knowledge of the image alignment algorithm which is involved in the tracking module of the target object segmentation and tracking algorithm in real-time.The inverse synthesis alignment algorithm of the tracking module is deduced in detail.(4)The pipeline of segmentation and tracking algorithm in real-time for target objects is designed.In our algorithm segmentation and tracking of the target are implemented by alternately performing target segmentation and target alignment algorithm.The algorithm is implemented using C++ language based on OpenCV.The performance of the algorithm is compared with KCF and TLD algorithms and so on,then feasibility of the algorithm is verified.