Joint detection and tracking is fundamentally important in signal processing, navigation, radar applications. Especially, multitarget multipath environments a promising issue broadening range for joint tracking. However, its wide adoption real world systems challenged by the unknown data association, complex changeable motion environment, mutual coupling. To address those problems, we propose s...

In a series of five experiments, we investigated whether visual tracking mechanisms utilize prediction when recovering multiple reappearing objects. When all objects abruptly disappeared and reappeared mid-trajectory, it was found that (a) subjects tracked better when objects reappeared at their loci of disappearance than when they reappeared in their extrapolated trajectories, (b) disappearanc...

BACKGROUND PubMed is the most widely used method for searches of the medical literature, but fails to identify many relevant articles. Electronic citation tracking offers an alternative search method. METHODS Articles investigating the role of depression in the aetiology and prognosis of coronary heart disease were sought through two methods: a) PubMed, and b) citation tracking where Science ...

As a result of the ongoing upgrading manufacturing industries, higher and requirements are being proposed for assembly precision. In particular, in industries that involve large-sized products, it is hoped accuracy can still be guaranteed as product size increases. The emergence indoor Global Positioning System (iGPS) will enable this demand to met. work, we have conducted in-depth research on ...

In this paper, we focus on human activity detection, which solves detection, tracking, and recognition jointly. Existing approaches typically use off-the-shelf approaches for detection and tracking, ignoring naturally given prior knowledge. Hence, in this work we present a novel strategy for learning activity specific motion models by feature-totemporal-displacement relationships. We propose a ...

We present a novel algorithm for semantic video object (SVO) extraction, based on a new multivalued morphological spatial segmentation that integrates color and edge information, and object tracking by backward region classi cation. Our proposed spatial segmentation incorporates a new marker extraction method based on intensity edge information that improves the de nition of the real borders of...

A real-time gaze-tracking system that estimates the user's eye gaze and computes the window of focused view on a computer monitor has been developed. This arti®cial neural network based system can be trained and customized for an individual. Unlike existing systems in which skin color features and/or other mountable equipment are needed, this system is based on a simple non-intrusive camera mou...

A new content-based mesh design algorithm for video objects segmentation and tracking is proposed. The algorithm moves the mesh nodes along motion or luminance discontinuities in order to ÿt the objects boundaries. The motion inside adjacent triangular cells is estimated by competitive forward–backward matching. This approach allows the displacements of the nodes without the remeshing of occlus...