Background Subtraction Based on Local Orientation Histogram
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Vision Based Pose Recognition in Video Game
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
A medical tracking system for contrast media
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
HOG-based descriptors on rotation invariant human detection
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
An adaptive sample count particle filter
Computer Vision and Image Understanding
Target Tracking Using Multiple Patches and Weighted Vector Median Filters
Journal of Mathematical Imaging and Vision
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A region tracking technique with particular emphasis on rotation robustness is presented. It is based on region matching divided in two consecutive steps, gradient orientation histogram matching and template matching through Normalised Cross Correlation (NCC). Given the orientation histograms of two image patches, a novel technique is used to estimate the rotation between them together with the similarity. This estimation enhances the performance and speeds-up the process of patch recognition. Fast computation of histograms using the integral histogram approach [9] is exploited. Experiments show a high accuracy in the estimation of location and orientation.