New Methods and Algorithms of Search, Detection and Tracking of Moving Point Targets along a Complex Path on a Complex Background

Abstract

The article is devoted to solving the fundamental scientific problems of developing universal methods of video sequence processing for the detection and tracking of objects of interest. During work on the subject, authors designed new methods and algorithms for universal monitoring systems for wide range of objects in the video sequences which could be implemented at miniaturized data processing systems. In this paper we describe a new method of search and recognition of point objects on a complex background, a new algorithm for the analysis of the found set of descriptors of local features to filter false positives filter local features, object detection criterion in the image, a new algorithm for the analysis of the trajectory of a point object on the basis of a recursive Kalman filter to predict the trajectory the movement of point objects.