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Published in:

Volume 4 Issue 8
August-2017
eISSN: 2349-5162

Unique Identifier

JETIR1708042

Page Number

229-234

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Title

Tracking and Detection of Sudden Pedestrian Crossing

ISSN

2349-5162

Cite This Article

"Tracking and Detection of Sudden Pedestrian Crossing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 8, page no.229-234, August-2017, Available :http://www.jetir.org/papers/JETIR1708042.pdf

Authors

Abstract

From last decade, Safety plays a major role in automobile industry, which results in the invention of various safety measures such as air bags, central locking system, automatic breaking system, traffic signal detection etc. In such case pedestrian detection in night vision is one of the vital issues in advanced driving assistance systems. The main aim of the night vision systems is to avoid collision of vehicles with the pedestrians while driving on roads. It is very much important in night time; due to the varying light conditions it is very difficult to detect a pedestrian. FIR (Far Infrared) camera is used in this system to take images of a night scene. In this system we proposed a tree structured classifier which is a combination of Haar like features and OCS-LBP features to detect the pedestrian effectively. And also we used virtual reference lines The SPC detection is determined using the likelihood and spatiotemporal features, like overlapping ratio, magnitude and direction of the pedestrian’s movement.

Key Words

Haar like features, OCS-LBP features, SPC detection, Spatiotemporal features.

Cite This Article

"Tracking and Detection of Sudden Pedestrian Crossing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 8, page no. pp229-234, August-2017, Available at : http://www.jetir.org/papers/JETIR1708042.pdf

Publication Details

Published Paper ID: JETIR1708042
Registration ID: 170583
Published In: Volume 4 | Issue 8 | Year August-2017
DOI (Digital Object Identifier):
Page No: 229-234
ISSN Number: 2349-5162

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Cite This Article

"Tracking and Detection of Sudden Pedestrian Crossing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 8, page no. pp229-234, August-2017, Available at : http://www.jetir.org/papers/JETIR1708042.pdf




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