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» Learning and Inference with Constraints
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GIS
2010
ACM
15 years 4 months ago
Kernelized map matching
Map matching is a fundamental operation in many applications such as traffic analysis and location-aware services, the killer apps for ubiquitous computing. In the past, several m...
Ahmed Jawad, Kristian Kersting
CVPR
2011
IEEE
15 years 1 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic
CVPR
2012
IEEE
13 years 9 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
CVPR
2012
IEEE
13 years 8 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICPR
2008
IEEE
16 years 14 days ago
Correspondences of point sets using Particle Filters
The paper shows how Particle Filters can be used to establish visually consistent partial correspondences between similar features in unrestricted 2D point sets representing shape...
Rolf Lakämper, Shusha Li, Marc Sobel