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AAAI
2008
13 years 7 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
ICCV
2003
IEEE
13 years 10 months ago
A Model-Based Approach for Automated Feature Extraction in Fundus Images
A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal component analysis (PCA) and ...
Huiqi Li, Opas Chutatape
CVPR
2008
IEEE
13 years 7 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
PAMI
2008
220views more  PAMI 2008»
13 years 5 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2008
IEEE
13 years 11 months ago
Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses
We propose a method that detects and segments multiple, partially occluded objects in images. A part hierarchy is defined for the object class. Whole-object segmentor and part de...
Bo Wu, Ram Nevatia, Yuan Li