Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining

Tianjun Huang; Stephen McKenna

doi:10.1109/ICIP.2018.8451451

Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining

Tianjun Huang, Stephen McKenna

Computing

Research output: Contribution to conference › Paper › peer-review

2 Citations (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 language	English
Pages	579-583
Number of pages	5
DOIs	https://doi.org/10.1109/ICIP.2018.8451451
Publication status	Published - 6 Sept 2018
Event	2018 IEEE International Conference on Image Processing - Athens, Greece Duration: 7 Oct 2018 → 10 Oct 2018 Conference number: 25 https://2018.ieeeicip.org/Default.asp

Conference

Conference	2018 IEEE International Conference on Image Processing
Abbreviated title	IEEE ICIP
Country/Territory	Greece
City	Athens
Period	7/10/18 → 10/10/18
Internet address	https://2018.ieeeicip.org/Default.asp

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10.1109/ICIP.2018.8451451Licence: No Licence / Unknown

Cite this

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title = "Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining",

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.",

author = "Tianjun Huang and Stephen McKenna",

note = "This work received funding from the Scottish Informatics & Computer Science Alliance (SICSA) through a prize studentship awarded to T. Huang.; 2018 IEEE International Conference on Image Processing, IEEE ICIP ; Conference date: 07-10-2018 Through 10-10-2018",

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doi = "10.1109/ICIP.2018.8451451",

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AU - Huang, Tianjun

AU - McKenna, Stephen

N1 - Conference code: 25

PY - 2018/9/6

Y1 - 2018/9/6

N2 - 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.

AB - 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.

U2 - 10.1109/ICIP.2018.8451451

DO - 10.1109/ICIP.2018.8451451

M3 - Paper

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EP - 583

T2 - 2018 IEEE International Conference on Image Processing

Y2 - 7 October 2018 through 10 October 2018

ER -

Sequential Recognition of Manipulation Actions Using Discriminative Superpixel Group Mining

Abstract

Conference

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