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» Object detection using spatial histogram features
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ECCV
2008
Springer
16 years 5 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ICCV
2009
IEEE
15 years 1 months ago
An HOG-LBP human detector with partial occlusion handling
By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we propose a novel human detection approach capable of handling partial occl...
Xiaoyu Wang, Tony X. Han, Shuicheng Yan
PAMI
2007
139views more  PAMI 2007»
15 years 2 months ago
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
—The analysis of periodic or repetitive motions is useful in many applications, such as the recognition and classification of human and animal activities. Existing methods for th...
Alexia Briassouli, Narendra Ahuja
GIS
2009
ACM
15 years 7 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
TCSV
2010
14 years 10 months ago
Compressed Domain Video Object Segmentation
We propose a compressed domain video object segmentation method for MPEG or MPEG-like encoded videos. Computational superiority is the main advantage of the compressed domain proc...
Fatih Murat Porikli, Faisal I. Bashir, Huifang Sun