We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
We present a new object segmentation method that is based on geodesic active contours with combined shape and appearance priors. It is known that using shape priors can significan...
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...