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» Object Recognition Using Segmentation for Feature Detection
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ACCV
2006
Springer
13 years 11 months ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...
ICASSP
2008
IEEE
14 years 2 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
BMVC
1998
13 years 9 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
ICPR
2006
IEEE
14 years 8 months ago
A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature
Existing methods of gait recognition suffer from some shortcomings, which are discussed at the beginning of the full paper. In order to suppress these shortcomings as much as poss...
Yanmei Chai, Qing Wang, Jingping Jia, Rongchun Zha...
3DIM
2007
IEEE
14 years 2 months ago
Range Image Segmentation for Modeling and Object Detection in Urban Scenes
We present fast and accurate segmentation algorithms of range images of urban scenes. The utilization of these algorithms is essential as a pre-processing step for a variety of ta...
Cecilia Chao Chen, Ioannis Stamos