This thesis concerns the topic of tracking soccer players. The problem is to select the best from relevant methods for tracking a single soccer player in a low-resolution video sequence captured by a single static camera. Achieving this is the basis for developing a system for tracking soccer players in low-resolution videos with multi-camera approach, which is the project assigned by the Softw...

This paper presents the correlation-based motion estimation technique for 3D displacement of objects. Two high-speed cameras are configured as a stereovision system and synchronized in real-time. Finger hand motions captured form digital images at 1500 fps 2000 respectively. A complete acquisition is calibrated to determine intrinsic extrinsic parameters which were later used correlation algori...

Region covariance (RC) descriptor is an effective and efficient feature for visual tracking. Current RC-based tracking algorithms use the whole RC matrix to track the target in video directly. However, there exist some issues for these whole RCbased algorithms. If some features are contaminated, the whole RC will become unreliable, which results in lost object-tracking. In addition, if some fea...

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

In this paper, we describe a method for real-time tracking of objects with multiple laser range-finders covering a workspace in a parallel and distributed fashion. Tracking people is a popular problem in machine vision. Here we adapt the methods used in vision to planar laser scanners. We group range measurements into entities like blobs and objects. With the help of a Kalman Filter (KF), the t...