Long-term multiobject tracking using alternative correlation filters

Kemal Batuhan BAŞKURT; Refik SAMET

Article Details

Long-term multiobject tracking using alternative correlation filters

Authors:

Kemal Batuhan BAŞKURT | Refik SAMET

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2246-2259

Document Type:

Article

Publication Date:

9/2018

Document Language:

Turkish

Document ID (Org No.):

2000734683

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

We propose a real-time multiobject-tracking approach that   is minimally affected by environmental conditions and target appearance   change. The aim of the proposed approach is to track any object in a scene,   regardless of object type, since tracking all of the objects in a scene is   critical and widely used in surveillance applications. Thus, motion   detection results are used to initialize the trackers. The proposed   object-tracking approach is realized with two types of independent   correlation filters estimating location and scale. Alternative correlation   filters representing different appearances of the target are also proposed   in order to increase the robustness of the approach to scene and target   changes. Tracking sustainability is provided by putting alternative   correlation filters into use when the quality of the tracking output   decreases to a critical level. Motion blobs are also used to minimize object   boundary drift, which is a challenging problem, especially for long-term   tracking. The proposed approach was tested on an object-tracking benchmark   dataset and outperformed most state-of-the-art methods.

Article Details

Long-term multiobject tracking using alternative correlation filters

Authors: Kemal Batuhan BAŞKURT | Refik SAMET

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2246-2259

Document Type: Article

Publication Date: 9/2018

Document Language: Turkish

Document ID (Org No.): 2000734683

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Kemal Batuhan BAŞKURT | Refik SAMET

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 5, pp.2246-2259

Document Type:

Article

Publication Date:

9/2018

Document Language:

Turkish

Document ID (Org No.):

2000734683

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632