Feature or interest points typically use information aggregation in 2D patches which does not remain stable at object boundaries when there is object motion against a significantly varying background. Level or iso-intensity curves are much more stable under such conditions, especially the longer ones. In this paper, we identify stable portions on long iso-curves and detect corners on them. Furt...

This paper addresses the problem of modeling maneuvering target motion in tracking applications. A target trajectory can typically be divided into segments with different dynamic motion modes, such as a constant velocity motion, a constant acceleration motion or a constant turn rate motion. To integrate the different motion modes into a uniform model, a Constant Speed Changing Rate and Constant...

An experimental comparison of ‘Edge-Element Association (EEA)’ and ‘Marginalized Contour (MCo)’ approaches for 3D modelbased vehicle tracking in traffic scenes is complicated by the different shape and motion models with which they have been implemented originally. It is shown that the steering-angle motion model originally associated with EEA allows more robust tracking than the angular-veloci...

False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in feature motion trajectory. One way of reducing the effect of outliers is stochastic filtering using a state space model for motion trajectory. Hyper-parameters in the state space model, e.g., variances of noise distri...

There is an need for an autonomous system that can organise spherical objects and reposition these objects with six degrees of control. A mechatronic system is intended to partially fulfil the needs of this system by providing the means to position an object's three degrees of rotational freedom. In this paper we present the development of a vision motion tracking algorithm. This algorithm is t...

We have developed a system to analyze and index surveillance videos of a street scene based on the motions of objects in the scene, such as cars and people. A segmentation and tracking system extracts trajectories from compressed video, which are represented in a multiresolution manner and stored in a database. Once the motion segmentation has been accomplished, the three dimensional volume of ...

Virtual humans are often endowed with human-like characteristics to make them more appealing and engaging. Motion capture is a reliable way to represent natural motion on such characters, thereby allowing a wide range of animations to be automatically created and replicated. However, interpersonal differences in actors’ performances can be subtle and complex, yet have a strong effect on the hum...

When a motion tracking system underperforms, researchers and practitioners face the challenge of modifying and improving it. This paper proposes a framework of a rich set of metrics for quantitative evaluation that is able to indicate which modules of such a complicated system needs adjustment. We also use six different video sequences that represent a variety of challenges to assess the system...

We present a system to automatically assess the functional performance of stroke survivors along axes defined by the Arm Motor Ability Test (AMAT). The upper body motion of seven stroke survivors was measured in a laboratory environment using a commercial motion capture device and a novel kinematic tracker of our design. Statistics generated by each individual were related to expert-determined ...

UNLABELLED A powerful paradigm (the pedestal-plus-test display) is combined with several subsidiary paradigms (interocular presentation, stimulus superpositions with varying phases, and attentional manipulations) to determine the functional architecture of visual motion perception: i.e. the nature of the various mechanisms of motion perception and their relations to each other. Three systems ar...