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» Learning to localize detected objects
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ICIP
2009
IEEE
13 years 9 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 5 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian
WSCG
2004
216views more  WSCG 2004»
14 years 16 days ago
A Fast and Accurate Faces Localization using Gradient Method
Detecting faces in images with complex background is a difficult task. To solve this problem we decided to use modified gradient method with oval object detection. This method is ...
Georgy Kukharev, Pawel Masicz, Piotr Masicz
CVPR
2007
IEEE
15 years 1 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
14 years 5 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine