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» Cascade of Classifiers for Vehicle Detection
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ICMCS
2005
IEEE
152views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Pre-Attentional Filtering in Compressed Video
We propose the use of attentional cascades based on the DCT and motion information contained in an MPEG coded stream. An attentional cascade is a sequence of very efficient class...
Juan María Sánchez, Ramon Lluis Feli...
ICPR
2004
IEEE
14 years 8 months ago
Multi-View Face Detection under Complex Scene based on Combined SVMs
A single face classifier has difficulty in detecting multiview faces under real and complex scenes due to various poses, cluttering environment and small size of faces. In this pa...
Peng Wang, Qiang Ji
CVPR
2007
IEEE
13 years 11 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ISNN
2005
Springer
14 years 27 days ago
Neural Network Based Online Feature Selection for Vehicle Tracking
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
Tie Liu, Nanning Zheng, Hong Cheng
CVPR
2006
IEEE
14 years 9 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman