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» Robust object detection scheme using feature selection
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ACCV
2009
Springer
15 years 4 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
CVPR
2008
IEEE
15 years 12 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
VLUDS
2010
270views Visualization» more  VLUDS 2010»
14 years 4 months ago
Detection and Identification Techniques for Markers Used in Computer Vision
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches use correlation, digital, or topological...
Johannes Köhler, Alain Pagani, Didier Stricke...
CVPR
2007
IEEE
15 years 12 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
MVA
1994
224views Computer Vision» more  MVA 1994»
14 years 11 months ago
3D Object Model Fitting to Still Images Using Linear Combination Method of 2D Aspect Images
This paper describes a method for fitting 3D object model to still (single) 2D observed image by searching for the model's optimum posture parameters in the parameter space t...
Hiroyasu Sakamoto, Masahide Kawakami