Comparing evaluation protocols on the KTH dataset

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6219 LNCS, Issue , 2010, Pages 88-100

  Gao, Zan ^a   Chen, Ming Yu ^b   Hauptmann, Alexander G ^b   Cai, Anni ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b Carnegie Mellon University   (United States)

Author keywords

Action Recognition; experimental methods; partitioning; training test data sets

Indexed keywords

ACTION RECOGNITION; CODEBOOKS; CROSS-VALIDATION METHODS; DATA SETS; EVALUATION PROTOCOL; EXPERIMENTAL METHODS; EXPERIMENTAL SETUP; HOT RESEARCH TOPICS; HUMAN-ACTION RECOGNITION; KNOW-HOW; LEAVE-ONE-OUT; PARTITIONING; SPATIO-TEMPORAL; TEST CONFIGURATIONS; TEST SCENARIO; TEST SETS; TEST SETUPS; TRAINING DATASET; VOCABULARY SIZE;

BEHAVIORAL RESEARCH; DATA PROCESSING; EXPERIMENTS; GESTURE RECOGNITION;

STATISTICAL TESTS;

EID: 77958492038     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14715-9_10     Document Type: Conference Paper

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