In this paper a novel tracking feature selection method is presented. Assuming the features that best discriminate between object and background are also best for tracking the object. A two-class variance ratio is employed to measure the discriminability. Genetic algorithm is used to optimize the different features combination to generate the best tracking feature. To demonstrate our proposed m...

There is a broad range of applications of visual object tracking that motivate the interests of researchers worldwide. These include video surveillance to know the suspicious activity, sport video analysis to extract highlights, traffic monitoring to analyse traffic flow and human computer interface to assist visually challenged people. In general, the processing framework of object tracking in...

In this paper we present new methods for object tracking initialization using automated moving object detection based on background subtraction. The new methods are integrated into the real-time object tracking system we previously proposed. Our proposed new background model updating method and adaptive thresholding are used to produce a foreground object mask for object tracking initialization...

Tracking object from video sequences has become a very popular problem in the field of computer vision. Many algorithms have been proposed to solve this problem. Combined with the energy of curvelet coefficients and Kalman filter method, a new object tracking algorithm is proposed based on fast discrete curvelet transform. Firstly, this algorithm is initialized with the establishment of a movin...

Traditional visual servoing systems do not deal with the topic of moving objects tracking. When these systems are employed to track a moving object, depending on the object velocity, visual features can go out of the image, causing the fail of the tracking task. This occurs specially when the object and the robot are both stopped and then the object starts the movement. In this work, we have em...

Visual servo control of robots has been recently considered and developed by many researchers. In this paper we have used a fixed camera for obtaining location and orientation of a moving object on a conveyor belt and then tracking the object. Tracking trajectory is obtained using a new event-based real-time path generation. Using the error signal obtained, which is difference between location ...

We address the detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The approach is based on the compensation of the image flow induced by the motion of observation platform and the detection and tracking of moving regions. The use of such an approach leads us to deal with stabilization inaccuracies, false alarms and non detection of moving object...

In this paper, we introduce a novel algorithm for object tracking in video sequence. In order to represent the object to be tracked, we propose a spatial color histogram model which encodes both the color distribution and spatial information. The object tracking from frame to frame is accomplished via center voting and back projection method. The center voting method has every pixel in the new ...