In object tracking, outlier is one of primary factors which degrade performance of image-based tracking algorithms. In this respect, therefore, most of the existing methods simply discard detected outliers and pay little or no attention to employing them as an important source of information for motion estimation. We consider outliers as important as inliers for object tracking and propose a mo...

a mobile manipulator robot is known as a complex system due to some properties such as coupling between the manipulator and mobile chassis, holonomic and nonholonomic constraints, multivariable and nonlinear dynamics. the control of robot faces the external disturbance, parametric uncertainty and unmodeled dynamics. therefore, the use of an adaptive fuzzy system is suggested for its capability ...

In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect ...

In this paper, we present a car tracking system which provides quantitative and qualitative motion estimates of the tracked car simultaneously from a moving observer. First, we construct three motion models (constant velocity, constant acceleration, and turning) to describe the qualitative motion of a moving car. Then the models are incorporated into the Extended Kalman Filters to perform quant...

In this paper, we present a car tracking system which provides quantitative and qualitative motion estimates of the tracked car simultaneously from a moving observer. First, we construct three motion models (constant velocity, constant acceleration, and turning) to describe the qualitative motion of a moving car. Then the models are incorporated into the Extended Kalman Filters to perform quant...

Simultaneous 3D human shape estimation and motion tracking is a very challenging problem. Given the complicated nature of human shape and motion, it can be very difficult to perform robust tracking of body parts without using a motion or shape model. Modelling the human body as rigid parts linked in a kinematic structure is a simple yet reasonably accurate model for tracking purposes. Optical f...

Tracking of features in video sequences has many applications. Conventionally, the minimum displaced frame difference (referred to as DFD or residue) of a block of pixels is used as the criterion for tracking in block-matching algorithms (BMA). However, such a criterion often misses the true motion vectors, due to many practical factors, e.g. affine warping, image noises, object occlusion, ligh...

A novel heterodyne Doppler interferometer method for compensating motion artifacts caused by cardiac motion in intracoronary optical frequency domain imaging (OFDI) is demonstrated. To track the relative motion of a catheter with regard to the vessel, a motion tracking system is incorporated with a standard OFDI system by using wavelength division multiplexing (WDM) techniques. Without affectin...

This work is focused on the experimental research of image processing for fast, accurate and efficient pattern recognition and motion tracking. To deal with the images and videos in real time as human beings is paramount about robot research if the robot wants to interact with the external environment in a humanoid way. In this research, object recognition and motion tracking are investigated s...