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» Distance-Based Descriptors for Pedestrian Detection
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ICIP
2005
IEEE
14 years 7 months ago
Eigenwalks: walk detection and biometrics from symmetry patterns
In this paper we present a symmetry-based approach which can be used to detect humans and to extract biometric characteristics from video image-sequences. The method employs a simp...
Laszlo Havasi, Tamás Szirányi, Zolt&...
IJRR
2010
137views more  IJRR 2010»
13 years 4 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
IJCV
2006
165views more  IJCV 2006»
13 years 6 months ago
A Critical View of Context
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
Lior Wolf, Stanley M. Bileschi
ICCV
2005
IEEE
14 years 7 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ISVC
2009
Springer
14 years 15 days ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield