Robust 2D Moving Object Segmentation and Tracking in Video Sequences
نویسندگان
چکیده
− Unsupervised motion segmentation and tracking in video sequences is a complex task, requiring robust estimation and flexible modeling. The paper presents an unsupervised method of moving object segmentation and tracking in video sequences captured by static cameras. Central to our work is the nonparametric density estimation and the mean shift algorithm for finding local maxima of the probability density. Foreground segmentation obtained from background estimation is combined with simultaneous region tracking and segmentation followed by connectivity-based moving object segmentation, in order to obtain an efficient processing algorithm. Preliminary tests asses the viability of the proposed approach.
منابع مشابه
Video Processing Methods Robust to Illumination Variations
VIDEO PROCESSING METHODS ROBUST TO ILLUMINATION VARIATIONS Fuat Çoğun M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr.A. Enis Çetin 09.08.2010 Moving shadows constitute problems in various applications such as image segmentation, smoke detection and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the us...
متن کاملSegmentation and Tracking Framework for Video Object by Using Threshold Decision and Diffusion
Video object segmentation and tracking are two essential building blocks of smart surveillance systems. However, there are several issues that need to be resolved. Threshold decision is a difficult problem for video object segmentation with a multibackground model.Addition to , some conditions make robust video object tracking difficult. These conditions include nonrigid object motion, target a...
متن کاملLong-term moving object segmentation and tracking using spatio-temporal consistency
The success of object-based media representation and description (e.g., MPEG-4 and –7) depends largely on effective object segmentation tools. In this paper, we expand our previous work on automatic video region tracking and develop a robust-moving objects detection system. In our system, we first utilize innovative methods of combining color and edge information in improving the object motion ...
متن کاملActive Contour Tracking of Moving Objects Using Edge Flows and Ant Colony Optimization in Video Sequences
Object segmentation and tracking are important techniques in video applications. In this paper, we present a novel system for active contour tracking of moving objects in video sequences. Our method includes preprocessing to identify an initial object contour, and object contour segmentation to refine the contour of the moving object. The edge flows and ant colony optimization are incorporated ...
متن کاملAn Adaptive-Robust Control Approach for Trajectory Tracking of two 5 DOF Cooperating Robot Manipulators Moving a Rigid Payload
In this paper, a dual system consisting of two 5 DOF (RRRRR) robot manipulators is considered as a cooperative robotic system used to manipulate a rigid payload on a desired trajectory between two desired initial and end positions/orientations. The forward and inverse kinematic problems are first solved for the dual arm system. Then, dynamics of the system and the relations between forces/momen...
متن کامل