NDLI: Hybrid approach using map-based estimation and class-specific Hough forest for pedestrian counting and detection

Content Provider	IET Digital Library
Author	Chen, Wei Gang Wang, Xun Wang, Hui Yan Peng, Hao Yu
Abstract	The system proposed in this study deals with pedestrian counting and detection in intelligent video surveillance systems. It is a hybrid of map-based and detection-based approaches, and combines the advantages of both. After the foreground objects being segmented, the map-based module, which implicitly compensates the perspective distortion by integrally projecting the features onto a given direction, is triggered to estimate the number of pedestrians in each foreground region. Then, a class-specific Hough forest is employed to locate individuals. Experimental results have validated our strategy. The proposed map-based module has the ability of accurately estimating the count for each region. Also, the estimation can speed up the process of locating individuals by providing cues like the number of targets and the approximate size of each target. The proposed detection-based module not only locates pedestrians, but deals with enhancing the accuracy of the counting as well.
Starting Page	771
Ending Page	781
Page Count	11
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 12, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0699
Journal	IET Image Processing
Publisher Date	2014-08-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Class Specific Hough Forest Computer Vision And Image Processing Technique Data Compression Detection-based Module Distortion Foreground Object Segmentation Foreground Region Hough Transforms Hybrid Approach Image Recognition Image Segmentation Integral Transforms Intelligent Video Surveillance System Map-based Estimation Map-based Module Object Detection Pedestrian Pedestrian Counting Pedestrian Detection Perspective Distortion Compensation Traffic Engineering Computing Video Signal Processing Video Surveillance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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