NDLI: On-road vehicle detection by cascaded classifiers

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On-road vehicle detection by cascaded classifiers

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On-road vehicle detection by cascaded classifiers

Content Provider	ACM Digital Library
Author	Krishna, P. Radha Jonna, Kishore Hota, Rudra N.
Abstract	We present an efficient algorithm for on-road vehicle (e.g. side and rear view of cars) detection problem using cascade of boosted classifiers. Adaptive boosting based classifier in cascaded structure is one of the few good approaches for object detection. This approach filters different non-target (negative) samples in different stages of cascaded structure according to their level of similarity with target object class. The boosted weak learners are quick and efficient for initial stages only, but in later stage of cascaded structure they are not efficient enough to remove the critical false alarms. In this paper, we propose a method of cascading complex features at the later stage of cascaded classifier to enhance the detection performance. We compared the performance of local and global texture features in combination with boosted haar like features. The best performance for on-road obstacle detection is achieved by Adaboost with Haar-like feature along with SVM and Histograms of Oriented Gradients (HOG) features.
Starting Page	1
Ending Page	5
Page Count	5
File Format	PDF
ISBN	9781450300018
DOI	10.1145/1754288.1754315
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-01-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Texture feature analysis Object detection On-road obstacles Intelligent transport system Cascaded classifiers
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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