1568 search results - page 136 / 314 » Boosting Object Detection Using Feature Selection |
161
Voted
TNN
2010
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
14 years 11 months ago
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
121
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ACCV
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
145
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ICIAR
2004
Springer
15 years 10 months ago
2004
Springer
Recently, log-polar images have been successfully used in active-vision tasks such as vergence control or target tracking. However, while the role of foveal data has been exploited...
146
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IBPRIA
2007
Springer
15 years 11 months ago
2007
Springer
On–board pedestrian detection is a key task in advanced driver assistance systems. It involves dealing with aspect–changing objects in cluttered environments, and working in a ...
150
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ACCV
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...