Set similarity modulates object tracking in dynamic environments

Object Detection and Tracking for Autonomous Navigation in Dynamic Environments

We address the problem of vision-based navigation in busy inner-city locations, using a stereo rig mounted on a mobile platform. In this scenario semantic information becomes important: rather than modelling moving objects as arbitrary obstacles, they should be categorised and tracked in order to predict their future behaviour. To this end, we combine classical geometric world mapping with obje...

Adaptive Object Tracking in Dynamic Environments with User Interaction

In this article an object tracking system is introduced which is capable to handle difficult situations in a dynamically changing environment. We evaluate the concepts of the proposed system by means of the task of person tracking in crowded seminar rooms. The contributions are threefold. We propose an expansion of the condensation algorithm which results in a more stable tracking in difficult ...

Tracking Optima in Dynamic Environments

Tracking Extrema in Dynamic Environments

Abstract. Typical applications of evolutionary optimization involve the off-line approximation of extrema of static multi-modal functions. Methods which use a variety of techniques to self-adapt mutation parameters have been shown to be more successful than methods which do not use self-adaptation. For dynamic functions, the interest is not to obtain the extrema but to follow it as closely as p...

Convolutional Gating Network for Object Tracking

Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem.  The paper presents a new model for combining convolutiona...