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» A Hierarchical Approach to Sign Recognition
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TCSV
2010
14 years 4 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
CIVR
2009
Springer
257views Image Analysis» more  CIVR 2009»
15 years 4 months ago
Trajectory-based handball video understanding
This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
85
Voted
PRL
2007
166views more  PRL 2007»
14 years 9 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICFHR
2010
214views Biometrics» more  ICFHR 2010»
14 years 4 months ago
Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition
The hierarchical nature of Chinese characters has inspired radical-based recognition, but radical segmentation from characters remains a challenge. We previously proposed a radica...
Long-Long Ma, Adrien Delaye, Cheng-Lin Liu
ICCV
2005
IEEE
15 years 11 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