Identification and tracking of a moving object using computer vision techniques is important in robotic surveillance. In this paper, an adaptive colour filteringmethod is introduced for identifying and tracking a moving object appearing in image sequences. This filter is capable of automatically identifying the most salient colour feature of the moving object in the image and using this for a r...

-The researchers has attracted on object tracking research. There are many tracking algorithm, The purpose of object tracking algorithm is segmenting a region of interest from a video scene and keeping track of its motion, positioning and occlusion. Preceding steps for tracking an object in sequence of images are the object detection and object classification. To check existence and to locate t...

There are various methods in the field of moving-object tracking in the video images that each of them implies on the specific features of object. Among tracking methods based on features, algorithms based on color are able to provide a precise description of the object and track the object with high speed. One of the efficient methods in the field of object tracking based on color information ...

Self-localization and object tracking are key technologies for human-robot interactions. Most previous tracking algorithms focus on how to correctly estimate the position, velocity, and acceleration of a moving object based on the prior state and sensor information. What has been rarely studied so far is how a robot can successfully track the partially observable moving object with laser range ...

The contribution presents the process of two and three dimensional localization of the moving object using a camera system, possible remote data transmission through communication links and image acquisition problems. Moving object recognition is provided by one possible approach frames difference method, which represents object tracking at any background, image processing was done in MATLAB an...

The proposed work presents a survey on moving object detection and tracking methods. It is classified into different categories and new trends identify. This work shows moving object detection and tracking using different and efficient methodologies. Object detection and object tracking is used to track the object type(such as human, vehicles) and detect the movement of the object(such as movin...

This paper describes a new real-time tracking algorithm in conjunction with a predictive filter to allow real-time visual servoing of a robotic arm that is following a moving object. The system consists of two calibrated (but unregistered) cameras that provide images to a real-time, pipelined-parallel optic-flow algorithm that can robustly compute optic-flow and calculate the 3-D position of a ...

In this paper, an edge segment based tracking algorithm, which is capable of identifying moving objects in image sequence, is proposed. Since segmenting objects from a sequence image are not easy, traditional object tracking algorithms fetch difficulty due to large variation of object shape, orientation, motion and size among frames. One object may consist of several parts with different motion...

Tracking of moving objects that is called video tracking is used for measuring motion parameters and obtaining a visual record of the moving objects, it is an important area of application in image processing. In general there are two different approaches to obtain object tracking: the first is Recognition-based Tracking, and the second is the Motion-based Tracking. Video tracking system raises...

Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an e...