TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

How to Make an RGBD Tracker?

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoEuropean Conference on Computer Vision (ECCV) Workshop on Visual Object Tracking
KustantajaSpringer
Sivut148-161
ISBN (elektroninen)978-3-030-11009-3
ISBN (painettu)978-3-030-11008-6
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Conference on Computer Vision - Munich, Saksa
Kesto: 8 syyskuuta 201814 syyskuuta 2018

Julkaisusarja

NimiLecture Notes in Computer Science
Vuosikerta11129
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceEuropean Conference on Computer Vision
MaaSaksa
KaupunkiMunich
Ajanjakso8/09/1814/09/18

Tiivistelmä

We propose a generic framework for converting an arbitrary short-term RGB tracker into an RGBD tracker. The proposed framework has two mild requirements – the short-term tracker provides a bounding box and its object model update can be stopped and resumed. The core of the framework is a depth augmented foreground segmentation which is formulated as an energy minimization problem solved by graph cuts. The proposed framework offers two levels of integration. The first requires that the RGB tracker can be stopped and resumed according to the decision on target visibility. The level-two integration requires that the tracker accept an external mask (foreground region) in the target update. We integrate in the proposed framework the Discriminative Correlation Filter (DCF), and three state-of-the-art trackers – Efficient Convolution Operators for Tracking (ECOhc, ECOgpu) and Discriminative Correlation Filter with Channel and Spatial Reliability (CSR-DCF). Comprehensive experiments on Princeton Tracking Benchmark (PTB) show that level-one integration provides significant improvements for all trackers: DCF average rank improves from 18th to 17th, ECOgpu from 16th to 10th, ECOhc from 15th to 5th and CSR-DCF from 19th to 14th. CSR-DCF with level-two integration achieves the top rank by a clear margin on PTB. Our framework is particularly powerful in occlusion scenarios where it provides 13.5% average improvement and 26% for the best tracker (CSR-DCF).

Julkaisufoorumi-taso