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CVPR
2010
IEEE
15 years 6 months ago
An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection
We introduce a method to accelerate the evaluation of object detection cascades with the help of a divide-andconquer procedure in the space of candidate regions. Compared to the e...
Christoph Lampert
CVPR
2003
IEEE
16 years 4 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
120
Voted
ICCV
2009
IEEE
16 years 7 months ago
Quantifying Contextual Information for Object Detection
Context is critical for minimising ambiguity in object de- tection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmen- tat...
Wei-Shi Zheng, Shaogang Gong and Tao Xiang
ICPR
2004
IEEE
16 years 3 months ago
Semantic Object Segmentation by a Spatio-Temporal MRF Model
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
Wei Zeng, Wen Gao
EMMCVPR
2001
Springer
15 years 7 months ago
Articulated Object Tracking via a Genetic Algorithm
Within a human motion analysis system, body parts are modeled by simple virtual 3D rigid objects. Its position and orientation parameters at frame t + 1 are estimated based on the ...
Jairo Rocha, Arnau Mir