Moving Object Tracking Techniques: A Critical Review
نویسنده
چکیده
Moving Object Tracking is one of the challenging problems in the field of computer vision, surveillance, traffic monitoring, video compression etc. The goal of object tracking is to locate a moving object in consecutive video frames. Normally a video tracking system combines three stages of data treating; object extraction, object recognition & tracking, and decisions about activities. This paper presents a critical review of various video object tracking techniques like point tracking, kernel tracking and Silhouette tracking algorithms. Comparison of all the techniques concludes the better approach for its future research.
منابع مشابه
Moving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملMoving Objects Tracking Using Statistical Models
Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...
متن کاملFormation Control and Path Planning of Two Robots for Tracking a Moving Target
This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...
متن کاملFixed-point FPGA Implementation of a Kalman Filter for Range and Velocity Estimation of Moving Targets
Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...
متن کاملMoving Vehicle Tracking Using Disjoint View Multicameras
Multicamera vehicle tracking is a necessary part of any video-based intelligent transportation system for extracting different traffic parameters such as link travel times and origin/destination counts. In many applications, it is needed to locate traffic cameras disjoint from each other to cover a wide area. This paper presents a method for tracking moving vehicles in such camera networks. The...
متن کامل