Apparatus and method for online action detection
AssigneeElectronics and Telecommunications Research Institute
InventorsJin Young MOON, Hyung Il KIM, Jong Youl PARK, Kang Min BAE, Ki Min YUN
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Abstract
Provided is an apparatus for online action detection, the apparatus including a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video, a filtering unit configured to perform filtering on the chunk-level feature, and an action classification unit configured to classify an action class using the filtered chunk-level feature.
Claims18
An apparatus for online action detection, the apparatus comprising:
- a feature extraction unit configured to extract a chunk-level feature of a video chunk sequence of a streaming video;
- a filtering unit configured to perform filtering on the chunk-level features;
- and
- an action classification unit configured to classify an action class using the filtered chunk-level features.
A method of online action detection, the method comprising the steps of:
- (a) extracting a chunk-level feature of a video chunk sequence of a streaming video;
- (b) performing filtering on the chunk-level features of the input video segment;
- and
- (c) classifying an action class and outputting an action class probability using the chunk-level features filtered in the step (b).
An apparatus for online action detection, comprising:
- an input unit configured to receive a video chunk sequence of a streaming video;
- a memory in which a program for detecting an action using the video chunk sequence is stored;
- and
- a processor configured to execute the program,
- wherein the processor extracts a chunk-level feature of the video chunk sequence, performs filtering on the chunk-level feature to generate a chunk-level feature sequence to be used for action classification, and classifies an action class and outputs an action class probability using the chunk-level feature sequence.
Dependencies are inferred from the claim text.