Depth Masked Discriminative Correlation Filter

Uğur Kart, Joni-Kristian Kämäräinen, Jiří Matas, Lixin Fan, Francesco Cricri

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    8 Citations (Scopus)

    Abstract

    Depth information provides a strong cue for occlusion detection and handling, but has been largely omitted in generic object tracking until recently due to lack of suitable benchmark datasets and applications. In this work, we propose a Depth Masked Discriminative Correlation Filter (DM-DCF) which adopts novel depth segmentation based occlusion detection that stops correlation filter updating and depth masking which adaptively adjusts the spatial support for correlation filter. In Princeton RGBD Tracking Benchmark, our DM-DCF is among the state-of-the-art in overall ranking and the winner on multiple categories. Moreover, since it is based on DCF, “DM-DCF” runs an order of magnitude faster than its competitors making it suitable for time constrained applications.
    Original languageEnglish
    Title of host publication2018 24th International Conference on Pattern Recognition (ICPR)
    PublisherIEEE
    Pages2112-2117
    Number of pages6
    ISBN (Electronic)978-1-5386-3788-3
    ISBN (Print)978-1-5386-3789-0
    DOIs
    Publication statusPublished - Aug 2018
    Publication typeA4 Article in conference proceedings
    EventInternational Conference on Pattern Recognition -
    Duration: 1 Jan 1900 → …

    Publication series

    Name
    ISSN (Electronic)1051-4651

    Conference

    ConferenceInternational Conference on Pattern Recognition
    Period1/01/00 → …

    Keywords

    • correlation methods
    • image colour analysis
    • image filtering
    • image segmentation
    • object detection
    • object tracking
    • correlation filter
    • occlusion detection
    • Princeton RGBD Tracking Benchmark
    • depth segmentation
    • DM-DCF
    • Depth Masked Discriminative Correlation Filter
    • Target tracking
    • Correlation
    • Three-dimensional displays
    • Object tracking
    • Benchmark testing
    • Two dimensional displays
    • Information filtering

    Publication forum classification

    • Publication forum level 1

    Fingerprint

    Dive into the research topics of 'Depth Masked Discriminative Correlation Filter'. Together they form a unique fingerprint.

    Cite this