The object tracking is one of the most important tasks in robots that allows to work necessarily with its environment. The stereo object tracking has the same objective that the monocular object tracking with the exception that in this case is also calculated the object depth. To guarantee the tracking of some object, it is necessary that the controller which moves the motors of the vision syst...

In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...

This study presents dual tracking method for real time object tracking using a moving camera. A real time object tracking using self aligning servo mechanism with webcam, dual tracking and effective localization of object is presented. The proposed dual tracking method works in two phases: In first phase tracking is done by joint color texture histogram with mean shift and in second phase track...

In this paper we recommend a novel method for detecting and tracking objects in the presence of cluttered background such as movements of leaves of trees, under various types of occlusion (object to object and object to scene occlusion) and scale change of object (small or large object) in real-time video. Object detection and tracking are two main terms of developing any tracking system. In ou...

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 ...