这是目标追终终述，。很经典的。我是搞这个方向的。 所以就把它贴出来了，希望对大家有用。 作者： alper yilmaz (ohio state univeristy) omar javed (object video,inc) mubarak shah (university of central florida)
该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（ SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift， Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序 基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。 This is a source about motion object tracking, including foreground modeling,object detecti
We demonstrate a real time system for image registration and moving object detection. The algorithm is based on describing the displacement of a point as a probability distribution over a matrix of possible displacements. A small set of randomly sel
ContentsSection I FundamentalsChapter 1 Introduction1.1 Practical Needs for Image and Video Compression1.2 Feasibility of Image and Video Compression1.2.1 Statistical Redundancy1.2.2 Psychovisual Redundancy1.3 Visual Quality Measurement 1.3.1 Subjec
This book begins with an inviting chapter that introduces the topic of video tracking and challenges in designing a robust video tracker and then presents an easy to follow outline of the book. Mathematical notations and simple formulations of singl
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes both gradual and sudden “once-off” changes. A Bayes decision rule for cla
This paper addresses the problem of video object segmentation, where the initial object mask is given in the first frame of an input video. We propose a novel spatiotemporal Markov Random Field (MRF) model defined over pixels to handle this problem.
Video object (VO) extraction is of great importance in multimedia processing. In recent years approaches have been proposed to deal with VO extraction as a classification problem. This type of methods calls for state-of-the-art classifiers because th
This paper proposes a novel video object tracking approach using birdirectional projection. Forward projection is exploited to locate the current video object with rough boundary information. Watershed segmentation is applied to the simplified gradie
