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2018 | OriginalPaper | Chapter

Moving Object Tracking and Detection Based on Kalman Filter and Saliency Mapping

Authors : Priyanka Prasad, Ashutosh Gupta

Published in: Data Engineering and Intelligent Computing

Publisher: Springer Singapore

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Abstract

There are many applications like video surveillance, object detection and tracking which require the processing of video to extract the desired result out of it. In this paper, we use saliency mapping to extract the interested regions of a video after its successful detection and tracking using Kalman filter. The saliency mapping uses the concept of temporal saliency mapping and spatial saliency mapping to distinguish between the various regions of a video. The high motion region is detected with the help of temporal mapping, while region consisting of regular movement is identified by spatial mapping. The effective saliency map is created using the combination of both spatial and temporal saliency mapping of the salient object. The experimental results obtained using public dataset, shows that our method performed well in detection, tracking and saliency mapping of the object.

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Metadata
Title
Moving Object Tracking and Detection Based on Kalman Filter and Saliency Mapping
Authors
Priyanka Prasad
Ashutosh Gupta
Copyright Year
2018
Publisher
Springer Singapore
Book
Data Engineering and Intelligent Computing

Print ISBN: 978-981-10-3222-6

Electronic ISBN: 978-981-10-3223-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-3223-3_61

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