We derive a probabilistic framework for robust, real-time, visual tracking of previously
unseen objects from a moving camera. The tracking problem is handled using a bag-of …

Cross-domain pedestrian detection aims to generalize pedestrian detectors from one label-
rich domain to another label-scarce domain, which is crucial for various real-world …

This study investigates fast detection of the left ventricle (LV) endo-and epicardium
boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of …

We present a novel method for tracking objects by combining density matching with shape
priors. Density matching is a tracking method which operates by maximizing the …

Fostering students' computer programming ability has been recognized as being an
important and challenging educational issue which is highly related to the process of …

We propose to embed overlap priors in variational tracking of the left ventricle (LV) in cardiac
magnetic resonance (MR) sequences. The method consists of evolving two curves toward …

This study investigates an efficient algorithm for image segmentation with a global constraint
based on the Bhattacharyya measure. The problem consists of finding a region consistent …

This paper presents a novel object tracking framework by joint registration and active
contour segmentation (JRACS), which can robustly deal with the non-rigid shape changes of …

We present a discrete kernel density matching energy for segmenting the left ventricle cavity
in cardiac magnetic resonance sequences. The energy and its graph cut optimization based …

In this paper, we propose a novel object tracking algorithm for video sequences, based on
active contours. The tracking is based on matching the object appearance model between …