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» High Detection-rate Cascades for Real-Time Object Detection
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ACCV
2010
Springer
13 years 2 months ago
Real-Time Human Detection Using Relational Depth Similarity Features
Many conventional human detection methods use features based on gradients, such as histograms of oriented gradients (HOG), but human occlusions and complex backgrounds make accurat...
Sho Ikemura, Hironobu Fujiyoshi
PAMI
2012
11 years 10 months ago
Learning Optimal Embedded Cascades
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
Mohammad Javad Saberian, Nuno Vasconcelos

Publication
179views
13 years 11 months ago
AutoSelect: What You Want Is What You Get Real-Time Processing of Visual Attention and Affect
While objects of our focus of attention (“where we are looking at”) and accompanying affective responses to those objects is part of our daily experience, little research exis...
Nikolaus Bee, Helmut Prendinger, Arturo Nakasone, ...
ICIP
2007
IEEE
13 years 11 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
CSREAESA
2010
13 years 5 months ago
An Approach for Efficient Real Time Moving Object Detection
Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive natu...
Arnab Roy, Sanket Shinde, Kyoung-Don Kang