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» Low-Level Image Segmentation Based Scene Classification
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ICIP
2009
IEEE
13 years 5 months ago
Generative model for abandoned object detection
This paper proposes an algorithm for abandoned object detection based on generative model of low level features. First, suspected blobs are detected by foreground detection and pi...
Jianting Wen, Haifeng Gong, Xia Zhang, Wenze Hu
IJCNN
2006
IEEE
14 years 1 months ago
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classif
Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
Steve Green, Michael Blumenstein
ICIP
2010
IEEE
13 years 5 months ago
A two-pass random forests classification of airborne lidar and image data on urban scenes
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
Li Guo, Nesrine Chehata, Samia Boukir
ICPR
2008
IEEE
14 years 2 months ago
Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
Min Li, Zhaoxiang Zhang, Kaiqi Huang, Tieniu Tan
CBMS
2007
IEEE
14 years 1 months ago
Region Based Segmentation and Classification of Multispectral Chromosome Images
Multiplex Fluorescent In Situ Hybridization (M-FISH) is a newly chromosome imaging technique where each chromosome class appears to have a distinct color. This technique although ...
Petros S. Karvelis, Dimitrios I. Fotiadis, Alexand...