Change detection using difference picture has been used to detect the location of moving targets and to track them. This method needs the assumption of static camera, and the global motion compensation is required in case of a moving camera. In this paper, we suggest a method for finding minimum bounding rectangles(MBRs) of moving targets in the image sequences using moving region detection, es...

In this paper, we propose a new method for automatically tracking the motion of local region in left ventricular myocardium by means of ultrasonic pulsed Doppler signal. This method consists of a velocity detection procedure based on correlation weighted mean instantaneous velocity and a motion tracking procedure employing a myocardial elastic model. Most of ultrasonic pulsed Doppler signals ob...

The maximum speed for attentive tracking of targets was measured in three types of (radial) motion displays: ambiguous motion where only attentive tracking produced an impression of direction, apparent motion, and continuous motion. The upper limit for tracking (about 50 deg s-1) was an order of magnitude lower than the maximum speed at which motion can be perceived for some of these stimuli. I...

In multiple-object tracking, participants can track several moving objects among identical distractors. It has recently been shown that the human visual system uses motion information in order to keep track of targets (St. Clair et al., Journal of Vision, 10(4), 1-13). Texture on the surface of an object that moved in the opposite direction to the object itself impaired tracking performance. In...

Character animations produced with motion capture data have many of the stylistic details seen in human motion while those generated with simulation are physically realistic for the dynamic parameters of the character. We combine these two approaches by tracking and modifying human motion capture data using dynamic simulation and constraints. The tracking system generates motion that is appropr...

We formulate human motion tracking as a high-dimensional constrained optimization problem. A novel generative method is proposed for human motion tracking in the framework of evolutionary computation. The main contribution is that we introduce immune genetic algorithm (IGA) for pose optimization in latent space of humanmotion. Firstly, we performhumanmotion analysis in the learnt latent space o...

This paper presents an approach to tracking human motion in a sequence of monocular images. The process consists of detecting motion, segmenting moving subjects by recovering the background and, nally, tracking the subject of interest. The usual assumptions of small image motion, a xed viewing system and constant velocity are systematically relaxed. Two cases are studied: 1) a viewing system wi...

From Wikipedia: definition of Visual Tracking Visual tracking is the process of locating a moving object (or several ones) in time using a camera. An algorithm analyzes the video frames and outputs the location, optionally in real time. A visual tracking algorithm is based on a motion model which describes how the image of the target changes depending on a vector of motion parameters. When the ...

Although robust object tracking has a wide variety of applications ranging from video surveillance to recognition from motion, it is not completely solved. Difficulties in tracking objects arise due to abrupt object motion, changing appearance of the object or partial and full object occlusions. To resolve these problems, assumptions are usually made concerning the motion or appearance of an ob...

This paper deals with the non-trivial problem of performance evaluation of motion tracking. We propose a rich set of metrics to assess different aspects of performance of motion tracking. We use six different video sequences that represent a variety of challenges to illustrate the practical value of the proposed metrics by evaluating and comparing two motion tracking algorithms. The contributio...