Video-based vehicle detection method

This paper considers the vehicle video detection and tracking problem. We propose a method based on the partitioning a video into blocks of equal length. Vehicles are detected in the first and last frames of each block. After that, locations of the object in the intermediate frames can be recovered....

Full description

Saved in:

Bibliographic Details
Published in:	Pattern recognition and image analysis Vol. 24; no. 4; pp. 588 - 592
Main Authors:	Kustikova, V. D., Meyerov, I. B., Zolotykh, N. Yu
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01-12-2014 Springer Nature B.V
Subjects:	Application Problems Boxes Computational mathematics Computer Science Digital video Feature extraction Frames Image analysis Image Processing and Computer Vision Image processing systems Methods Partitioning Pattern Recognition Position tracking Studies Tracking problem Vehicles Russia feature extraction computer vision tracking objects in video feature points object detection descriptor detector
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	This paper considers the vehicle video detection and tracking problem. We propose a method based on the partitioning a video into blocks of equal length. Vehicles are detected in the first and last frames of each block. After that, locations of the object in the intermediate frames can be recovered. Experimental results show above 70% true positive detection rate; the average false positives per frame is 0.3.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1054-6618 1555-6212
DOI:	10.1134/S1054661814040117