Recognition of Visual Activities and Interactions by Stochastic Parsing

Ivanov, Y. A., & Bobick, A. F. (2000). Recognition of Visual Activities and Interactions by Stochastic Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8), 852-872.

Type

Journal article

Intellectual base

Primary research

Year

2000

Volume

22

Issue

8

Pages

852-872

DOI

10.1109/34.868686

DOI registrant

Institute of Electrical and Electronics Engineers

Link

https://doi.org/10.1109/34.868686

Cited from

computer_science

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Parsing
  • In vision a video stream is parsed into events, actions, and scenes using sequence grammars on visual primitives.

    This sourceParses video streams into events and interactions using a stochastic context-free grammar over low-level visual detections — the computer-vision action/event-grammar instance. Resolves needs-source-407; DOI resolves to this article; authors, title, venue, volume/issue, pages confirmed.

    Supported in partVerified against the publisher's abstract

    The abstract backs parsing a video stream into temporally extended activities and interactions with a stochastic context-free grammar over low-level visual detections, but not "scenes".

    “The outputs of these detectors provide the input stream for a stochastic context-free grammar parsing mechanism. The grammar and parser provide longer range temporal constraints, disambiguate uncertain low-level detections, and allow the inclusion of a priori knowledge about the structure of temporal events in a given domain.”

    Read by an automated reader; not a human review. How support was checked

Verification

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Registry ID ref:e4fbfa8fbf47 · see in the full table