To track network-matched trajectories of moving objects is important in a lot of applications such as trajectory-based traffic-flow analysis and trajectory data mining. However, current network-based location tracking methods for moving objects need digital maps installed at the moving object side, which is not realistic in a lot of circumstances. In this paper, we propose a new moving objects ...

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...

Object tracking and detection is first step in applications such as video surveillance. The main aim of object tracking has been developed to estimate location, velocity and distance parameters of moving objects with the help of static camera. Object tracking system require accurate segmentation of objects from the background for effective tracking. Motion segmentation or optical flow can be us...

The goal of multiple object tracking is to find the trajectory of the target objects through a number of frames from an image sequence. Generally, multi-object tracking is a challenging problem due to illumination variation, object occlusion, abrupt object motion and camera motion. In this paper, we propose a multi-object tracking scheme based on a new weighted Kanade-Lucas-Tomasi (KLT) tracker...

We present a novel approach for continuous detection and tracking of moving objects observed by multiple stationary cameras. We address the tracking problem by simultaneously modeling motion and appearance of the moving objects. The object’s appearance is represented using color distribution model invariant to 2D rigid and scale transformation. It provides an efficient blob similarity measure f...

The process of locating a moving object in time that is visualized by camera and used in surveillance, animation and robotics is usually associated to the video tracking. Tracking is defined as the set of constraints that describes the better action performed. The key difficulty in video tracking is to associate target locations in consecutive video frames, especially when the objects are movin...

This paper presents a novel approach for continuous detection and tracking of moving objects observed by multiple stationary cameras. We address the tracking problem by simultaneously modeling motion and appearance of the moving objects. The object’s appearance is represented using color distribution model invariant to 2D rigid and scale transformation. It provides an efficient blobs’ similarit...

An active camera, i.e., pan-tilt-zoom (PTZ) camera, can be used either to monitor a wide area or capture a high resolution image of a specific object by adjusting the zoom value. In order to achieve the above two goals simultaneously just like an eagle’s eye, a novel dual–PTZ-camera system, called Eagle-Eye, is proposed in this paper. The system can keep monitoring the whole area while tracking...

In the field of security automated surveillance systems are very useful. Surveillance system can be used to detect and track the moving objects. First phase of the system is to detect the moving objects in the video. Second phase of the system will track the detected object. In this paper, detection of the moving object has been done using simple background subtraction and tracking of single mo...