Paper Info
Title
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification
Abstract
This paper presents an investigation of a neural- based technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist activities at beach sites. The proposed system uses various pre-processing and segmentation techniques to initially isolate potential objects in cluttered scenes. A structural feature extraction technique is then used to represent objects of interest for training a neural classifier. An exhaustive search strategy, incorporating a neural network, is proposed to effectively scan beach images to determine whether objects are "person" or "non-person". Encouraging results are presented for person detection using video imagery collected from a beach site on the coast of Australia.
Year
DOI
Venue
2006
10.1109/IJCNN.2006.247071
Vancouver, BC
Keywords
Field
DocType
feature extraction,image classification,neural nets,object detection,video signal processing,beach scenes,digital video imagery,exhaustive search strategy,feature extraction technique,neural network-based classification,person detection,tourist activities
Computer science,Person detection,Artificial intelligence,Classifier (linguistics),Contextual image classification,Artificial neural network,Object detection,Computer vision,Pattern recognition,Brute-force search,Segmentation,Feature extraction,Machine learning
Conference
ISBN
Citations 
PageRank 
0-7803-9490-9
1
0.39
References 
Authors
7
2
Name
Order
Citations
PageRank
Steve Green110.39
Michael Blumenstein2474.20