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» Object detection using spatial histogram features
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ICPR
2004
IEEE
14 years 8 months ago
Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality
Recent work has shown that effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or ...
Oskar Linde, Tony Lindeberg
DAGM
2009
Springer
14 years 1 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
ACCV
2010
Springer
13 years 2 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
ICIP
2008
IEEE
14 years 1 months ago
Blind image steganalysis based on run-length histogram analysis
In this paper, a new, simple but effective method is proposed for blind image steganalysis, which is based on run-length histogram analysis. Higher-order statistics of characteris...
Jing Dong, Tieniu Tan

Publication
502views
15 years 7 months ago
Spatio-Temporal Histograms
This paper presents a framework for building and continuously maintaining spatio-temporal histograms (ST-Histograms, for short). ST-Histograms are used for selectivity estimation o...
Hicham G. Elmongui, Mohamed F. Mokbel, Walid G. Ar...