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Forward-backward error: Automatic detection of tracking failures

Kalal, Z, Mikolajczyk, K and Matas, J (2010) Forward-backward error: Automatic detection of tracking failures In: 2010 20th ICPR, 2010-08-23 - 2010-08-26, Istanbul, Turkey.

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Abstract

This paper proposes a novel method for tracking failure detection. The detection is based on the Forward-Backward error, i.e. the tracking is performed forward and backward in time and the discrepancies between these two trajectories are measured. We demonstrate that the proposed error enables reliable detection of tracking failures and selection of reliable trajectories in video sequences. We demonstrate that the approach is complementary to commonly used normalized cross-correlation (NCC). Based on the error, we propose a novel object tracker called Median Flow. State-of-the-art performance is achieved on challenging benchmark video sequences which include non-rigid objects.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Kalal, ZUNSPECIFIEDUNSPECIFIED
Mikolajczyk, KUNSPECIFIEDUNSPECIFIED
Matas, JUNSPECIFIEDUNSPECIFIED
Date : 2010
Identification Number : 10.1109/ICPR.2010.675
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 13:12
Last Modified : 31 Oct 2017 16:59
URI: http://epubs.surrey.ac.uk/id/eprint/806160

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