In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

In its full generality, motion analysis of crowded objects necessitates recognition and
segmentation of each moving entity. The difficulty of these tasks increases considerably with …

The increased need of content based image retrieval technique can be found in a number of
different domains such as Data Mining, Education, Medical Imaging, Crime Prevention …

One challenge when tracking objects is to adapt the object representation depending on the
scene context to account for changes in illumination, coloring, scaling, etc. Here, we present …

Most motion-based tracking algorithms assume that objects undergo rigid motion, which is
most likely disobeyed in real world. In this paper, we present a novel motion-based tracking …

We present a spectral approach for detecting and analyzing rotational and reflectional
symmetries in n-dimensions. Our main contribution is the derivation of a symmetry detection …

In this paper, we address the task of appearance based person reidentification in infrared
image sequences. While common approaches for appearance based person reidentification …

In this paper, we present a component-based visual object tracker for mobile platforms. The
core of the technique is a component-based descriptor that captures the structure and …

CCTV systems have been introduced in most public spaces in order to increase security.
Video outputs are observed by human operators if possible but mostly used as a forensic …

Modeling and control of DC-DC converters is a non trivial problem in power electronics.
Such converters exhibit both autonomous and non-autonomous switching phenomena …