115 search results - page 12 / 23 » Improving Appearance-Based Object Recognition in Cluttered B... |
SAC
2010
ACM
14 years 2 months ago
2010
ACM
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
HUMO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...