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» Object Recognition Using Segmentation for Feature Detection
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ICIP
2004
IEEE
16 years 8 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICAPR
2009
Springer
16 years 1 months ago
A Skin-Color and Template Based Technique for Automatic Ear Detection
This paper proposes an efficient skin-color and template based technique for automatic ear detection in a side face image. The technique first separates skin regions from nonski...
Surya Prakash, Umarani Jayaraman, Phalguni Gupta
ICML
2006
IEEE
16 years 7 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
ICMCS
1999
IEEE
202views Multimedia» more  ICMCS 1999»
15 years 10 months ago
Face Detection in Color Images Using Wavelet Packet Analysis
In this paper, we propose a novel scheme for automatic and fast detection of human faces in color images where the number, the location, the orientation and the size of the faces ...
Christophe Garcia, G. Zikos, George Tziritas
PCM
2004
Springer
236views Multimedia» more  PCM 2004»
15 years 12 months ago
Automatic Salient-Object Extraction Using the Contrast Map and Salient Points
In this paper, we propose a salient object extraction method using the contrast map and salient points for object-based image retrieval. In order to make the contrast map, we gener...
Soo Yeong Kwak, ByoungChul Ko, Hyeran Byun