An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
In this proposal a novel implementation to find and recognize person actions in image sequences of meeting scenarios is introduced. Such extracted information can be used as the b...
Human interaction proofs (HIPs) have become commonplace on the internet for protecting free online services from abuse by automated scripts/bots. They are challenges designed to b...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
The present paper is aimed to compare the efficiency of a new segmentation method with several existing approaches. The paper addresses the problem of image segmentation evaluation...
Andreea Iancu, Bogdan Popescu, Marius Brezovan, Eu...