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Virtual Worlds as Proxy for Multi-Object Tracking Analysis

Gaidon, Adrien and Wang, Qiao and Cabon, Yohann and Vig, Eleonora (2016) Virtual Worlds as Proxy for Multi-Object Tracking Analysis. In: Proceedings of Computer Vision and Pattern Recognition 2016, pp. 4340-4349. IEEE Xplore. Conference on Computer Vision and Pattern Recognition 2016, 27-30 June 2016, Las Vegas, USA.

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Official URL: http://cvpr2016.thecvf.com/program/news_updates#proceedings

Abstract

Modern computer vision algorithms typically require expensive data acquisition and accurate manual labeling. In this work, we instead leverage the recent progress in computer graphics to generate fully labeled, dynamic, and photo-realistic proxy virtual worlds. We propose an efficient real-to-virtual world cloning method, and validate our approach by building and publicly releasing a new video dataset, called “Virtual KITTI” 1, automatically labeled with accurate ground truth for object detection, tracking, scene and instance segmentation, depth, and optical flow. We provide quantitative experimental evidence suggesting that (i) modern deep learning algorithms pre-trained on real data behave similarly in real and virtual worlds, and (ii) pre-training on virtual data improves performance. As the gap between real and virtual worlds is small, virtual worlds enable measuring the impact of various weather and imaging conditions on recognition performance, all other things being equal. We show these factors may affect drastically otherwise high-performing deep models for tracking.

Item URL in elib:https://elib.dlr.de/105154/
Document Type:Conference or Workshop Item (Poster)
Title:Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gaidon, Adrienadrien.gaidon (at) xrce.xerox.comUNSPECIFIED
Wang, Qiaoqiao.wang (at) asu.eduUNSPECIFIED
Cabon, Yohannyohann.cabon (at) xrce.xerox.comUNSPECIFIED
Vig, Eleonoraeleonora.vig (at) dlr.deUNSPECIFIED
Date:2016
Journal or Publication Title:Proceedings of Computer Vision and Pattern Recognition 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 4340-4349
Publisher:IEEE Xplore
Status:Published
Keywords:Multi-Object Tracking Analysis
Event Title:Conference on Computer Vision and Pattern Recognition 2016
Event Location:Las Vegas, USA
Event Type:international Conference
Event Dates:27-30 June 2016
Organizer:IEEE Computer Society and the Computer Vision Foundation (CVF)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:20 Jul 2016 10:54
Last Modified:31 Jul 2019 20:02

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