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» Saccadic Object Recognition with an Active Vision System
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IJCV
2011
264views more  IJCV 2011»
14 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
99
Voted
CAIP
2003
Springer
247views Image Analysis» more  CAIP 2003»
15 years 1 months ago
Object Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrian...
Qi Zang, Reinhard Klette
ECCV
2010
Springer
15 years 3 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
ISER
1999
Springer
118views Robotics» more  ISER 1999»
15 years 2 months ago
ACME, A Telerobotic Active Measurement Facility
: We are developing a robotic measurement facility which makes it very easy to build “reality-based” models, i.e., computational models of existing, physical objects based on a...
Dinesh K. Pai, Jochen Lang, John E. Lloyd, Robert ...
CVPR
2010
IEEE
15 years 6 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick