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» Generic Object Detection using Model Based Segmentation
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ICASSP
2009
IEEE
15 years 4 months ago
Acoustic fall detection using Gaussian mixture models and GMM supervectors
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, ...
ACIVS
2008
Springer
15 years 4 months ago
Foliage Recognition Based on Local Edge Information
In many real-world object recognition applications, texture plays a very important role. Much research has gone into texture-based segmentation methods, which focus on finding the...
David Van Hamme, Peter Veelaert, Wilfried Philips,...
SCALESPACE
2007
Springer
15 years 3 months ago
Detecting Regions of Dynamic Texture
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...
Tomer Amiaz, Sándor Fazekas, Dmitry Chetver...
ICIP
2002
IEEE
15 years 11 months ago
Unsupervised detection of contours using a statistical model
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapted for the images obtained by electronic acquisition. We present two statistica...
François Destrempes, Max Mignotte
MVA
1994
195views Computer Vision» more  MVA 1994»
14 years 11 months ago
A Fast Corner Detection Algorithm Based on Area Deviation
A new algorithm, based on area-deviation, is proposed for the detection of corner points of digitized curves. The algorithm consists of two steps. In the first step, a fixed-lengt...
Hao Zhou, Lejun Shao