Tracking cell mobility analysis is essential process in many biology studies. Accurate and sensitive cell tracking system is essential to cell motility studies. To improve the overall living cells tracking systems performance and improve the accuracy, we focused on developing a novel algorithm for image processing. The algorithm we propose presents novel image segmentation and tracking system t...

This paper describes a new method for tracking of a human body in 3D motion by using constraints imposed on the body from the scene. An image-based approach for tracking exclusively uses a geometrical model of the human body. Since the model usually has a large number of degrees of freedom (DOF), a chance to be corrupted by noise increases during the tracking process, and the tracking may fall ...

This paper proposes a unified approach on tracking and recognition .Object tracking is done at low level and recognition is done at high level. Traditional tracking methods give importance to low level image correspondences between frames. High level image correspondences are used for reliable tracking. Online and Offline models are used for both tracking and recognition which is done simultane...

This paper presents an integrated system for face detection and tracking in video sequences. The system consists of two modules, namely face detection and face tracking. The automatic face detection is based on a non-holistic object detection approach that utilizes the appearance and the topology of facial components to robustly detect faces in images. Both statistical and structural pattern re...

Tracking virus particles in fluorescence microscopy image sequences enables the characterization of the dynamical behavior of these objects. Several approaches have been developed for the task of virus tracking. However, few studies have quantitatively evaluated the performance of the different approaches. Such a comparison is essential to predict the performance of the approaches under realist...

Object tracking has become one of the important research areas in robotics. In this paper, we propose a vision based color object tracking by Khepera II mobile robot. The object tracking is realized by color segmentation through image threshold. The wireless camera mounted on the robot will capture the image in front of its viewing range and based on the color property of the target object, the...

In this work, we propose a new integrated framework that addresses the problems of thermal-visible video registration, sensor fusion, and people tracking for far-range videos. The video registration is based on a RANSAC trajectory-totrajectory matching, which estimates an affine transformation matrix that maximizes the overlapping of thermal and visible foreground pixels. Sensor fusion uses the...