Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
—Content-centric networking (CCN) brings a paradigm shift in the present Internet communication model by addressing named-data instead of host locations. With respect to TCP/IP, ...
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
SoC design methodologies are under constant revision due to adoption of fast shrinking process technologies at nanometer levels. Nanometer process geometries exhibit new complex d...
R. Raghavendra Kumar, Ricky Bedi, Ramadas Rajagopa...