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» Learning Models for Object Recognition
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177
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MLMI
2005
Springer
15 years 8 months ago
Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
José Luis Landabaso, Montse Pardàs
144
Voted
ICCV
2011
IEEE
14 years 3 months ago
Automatic Salient Object Extraction with Contextual Cue
We present a method for automatically extracting salient object from a single image, which is cast in an energy minimization framework. Unlike most previous methods that only leve...
Le Wang, IAIR, XJTU, Jianru Xue, Nanning Zheng, Ga...
ICVGIP
2004
15 years 4 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
VRST
1997
ACM
15 years 7 months ago
Image-based view synthesis by combining trilinear tensors and learning techniques
We present a new method for rendering novel images of flexible 3D objects from a small number of example images in correspondence. The strength of the method is the ability to sy...
Shai Avidan, Theodoros Evgeniou, Amnon Shashua, To...
HUC
2009
Springer
15 years 8 months ago
Recognizing daily activities with RFID-based sensors
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...