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» Robust object detection scheme using feature selection
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ICPR
2006
IEEE
15 years 11 months ago
Object Detection in Video via Particle Filters
We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Jacek Czyz
VTS
2007
IEEE
203views Hardware» more  VTS 2007»
15 years 4 months ago
Multiple Bit Upset Tolerant Memory Using a Selective Cycle Avoidance Based SEC-DED-DAEC Code
Conventional error correcting code (ECC) schemes used in memories and caches cannot correct double bit errors caused by a single event upset (SEU). As memory density increases, mu...
Avijit Dutta, Nur A. Touba
ICIP
2010
IEEE
14 years 7 months ago
Saliency detection using maximum symmetric surround
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient ma...
Radhakrishna Achanta, Sabine Süsstrunk
ICIAP
2001
Springer
15 years 10 months ago
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
Many approaches to moving object detection for traffic monitoring and video surveillance proposed in the literature are based on background suppression methods. How to correctly a...
Rita Cucchiara, Costantino Grana, Andrea Prati, Ma...
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse