We propose a new multi-target tracking approach, which is able to reliably track multiple objects even with poor segmentation results due to noisy environments. The approach takes advantage of a new dual object model combining 2D and 3D features through reliability measures. In order to obtain these 3D features, a new classifier associates an object class label to each moving region (e.g. perso...

Object detection and tracking has been a widely studied research problem in recent years. Currently system architectures are service oriented i.e. they offer number of services. All such common services are grouped together and are available as a domain called as service domain. One such service domain of our interest is LBS (location based service). The service of our interest is tracking. Tra...

object detection plays an important role in successfulness of a wide range ofapplications that involve images as input data. in this paper we have presented anew approach for background modeling by nonconsecutive frames differencing.direction and velocity of moving objects have been extracted in order to get anappropriate sequence of frames to perform frame subtraction. stationary parts ofbackg...

In this paper, we propose a visual tracking control method of a hand-eye robot for a moving target object with multiple feature points. The hand-eye robot is composed of a three degrees-offreedom planar manipulator and a single CCD camera that is mounted on the manipulator’s endeffector. The control objective is to keep all feature points of the target object around their desired coordinates on...

The tracking technique is one of the most critical techniques in wireless sensor network applications. The methodology of most recently proposed tracking schemes is to predict the object locations based on a single object moving model, and periodically activate nearby sensors to monitor the target. In most real-world situations, a target moves with different movement patterns, and thus, accurat...