Occlusion handling method for object tracking using RGB-D data

Ariel Benou; Itay Benou; Rami Hagage

doi:10.1109/EEEI.2014.7005857

Occlusion handling method for object tracking using RGB-D data

Ariel Benou, Itay Benou, Rami Hagage

Department of Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We propose a novel method for occlusion handling in object tracking using RGB-D sequences. The proposed method is designed as a stand-alone system which can be integrated into any 2D tracker, and consists of three stages: 1) Occlusion detection by fitting a Gaussian Mixture Model (GMM) to the depth distribution of the targets bounding box. 2) Reliable tracking during partial and full occlusions by incorporating RGB and depth segmentation of the scene. 3) Target recovery using depth information and motion estimation. We carry out a quantitative evaluation which shows a significant improvement in performance of state of the art RGB trackers, and also in comparison to another RGB-D tracker. Index Terms: Tracking, Occlusion Handling, RGB-D, Kinect.

Original language	English
Title of host publication	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781479959877
DOIs	https://doi.org/10.1109/EEEI.2014.7005857
State	Published - 1 Jan 2014
Event	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel Duration: 3 Dec 2014 → 5 Dec 2014

Publication series

Name	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/Territory	Israel
City	Eilat
Period	3/12/14 → 5/12/14

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2014.7005857

Cite this

Benou, A., Benou, I., & Hagage, R. (2014). Occlusion handling method for object tracking using RGB-D data. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 Article 7005857 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EEEI.2014.7005857

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title = "Occlusion handling method for object tracking using RGB-D data",

abstract = "We propose a novel method for occlusion handling in object tracking using RGB-D sequences. The proposed method is designed as a stand-alone system which can be integrated into any 2D tracker, and consists of three stages: 1) Occlusion detection by fitting a Gaussian Mixture Model (GMM) to the depth distribution of the targets bounding box. 2) Reliable tracking during partial and full occlusions by incorporating RGB and depth segmentation of the scene. 3) Target recovery using depth information and motion estimation. We carry out a quantitative evaluation which shows a significant improvement in performance of state of the art RGB trackers, and also in comparison to another RGB-D tracker. Index Terms: Tracking, Occlusion Handling, RGB-D, Kinect.",

author = "Ariel Benou and Itay Benou and Rami Hagage",

note = "Publisher Copyright: {\textcopyright} Copyright 2015 IEEE All rights reserved.; 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 ; Conference date: 03-12-2014 Through 05-12-2014",

year = "2014",

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doi = "10.1109/EEEI.2014.7005857",

language = "English",

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Benou, A, Benou, I & Hagage, R 2014, Occlusion handling method for object tracking using RGB-D data. in 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014., 7005857, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Institute of Electrical and Electronics Engineers, 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Eilat, Israel, 3/12/14. https://doi.org/10.1109/EEEI.2014.7005857

Occlusion handling method for object tracking using RGB-D data. / Benou, Ariel; Benou, Itay; Hagage, Rami.
2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers, 2014. 7005857 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We propose a novel method for occlusion handling in object tracking using RGB-D sequences. The proposed method is designed as a stand-alone system which can be integrated into any 2D tracker, and consists of three stages: 1) Occlusion detection by fitting a Gaussian Mixture Model (GMM) to the depth distribution of the targets bounding box. 2) Reliable tracking during partial and full occlusions by incorporating RGB and depth segmentation of the scene. 3) Target recovery using depth information and motion estimation. We carry out a quantitative evaluation which shows a significant improvement in performance of state of the art RGB trackers, and also in comparison to another RGB-D tracker. Index Terms: Tracking, Occlusion Handling, RGB-D, Kinect.

AB - We propose a novel method for occlusion handling in object tracking using RGB-D sequences. The proposed method is designed as a stand-alone system which can be integrated into any 2D tracker, and consists of three stages: 1) Occlusion detection by fitting a Gaussian Mixture Model (GMM) to the depth distribution of the targets bounding box. 2) Reliable tracking during partial and full occlusions by incorporating RGB and depth segmentation of the scene. 3) Target recovery using depth information and motion estimation. We carry out a quantitative evaluation which shows a significant improvement in performance of state of the art RGB trackers, and also in comparison to another RGB-D tracker. Index Terms: Tracking, Occlusion Handling, RGB-D, Kinect.

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Benou A, Benou I, Hagage R. Occlusion handling method for object tracking using RGB-D data. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers. 2014. 7005857. (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). doi: 10.1109/EEEI.2014.7005857

Occlusion handling method for object tracking using RGB-D data

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