Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining

Tianjun Huang, Stephen McKenna

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Activities such as those involved in food preparation involve interactions between hands, tools and multiple manipulated objects that affect them in visually complex ways making recognition of their constituent actions challenging. We describe a system that classifies action classes in such a setting based on discriminative spatio-temporal superpixel groups. The entire system operates sequentially enabling online action recognition. We obtain state-of-the-art results whilst employing a compact, interpretable representation.
Original languageEnglish
Pages579-583
Number of pages5
DOIs
Publication statusPublished - 6 Sep 2018
Event2018 IEEE International Conference on Image Processing - Athens, Greece
Duration: 7 Oct 201810 Oct 2018
Conference number: 25
https://2018.ieeeicip.org/Default.asp

Conference

Conference2018 IEEE International Conference on Image Processing
Abbreviated titleIEEE ICIP
CountryGreece
CityAthens
Period7/10/1810/10/18
Internet address

Fingerprint Dive into the research topics of 'Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining'. Together they form a unique fingerprint.

  • Cite this

    Huang, T., & McKenna, S. (2018). Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining. 579-583. Paper presented at 2018 IEEE International Conference on Image Processing, Athens, Greece. https://doi.org/10.1109/ICIP.2018.8451451