Abstract | ||
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In this work, we propose a novel video representation for activity recognition that models video dynamics with attributes of activities. A video sequence is decomposed into short-term segments, which are characterized by the dynamics of their attributes. These segments are modeled by a dictionary of attribute dynamics templates, which are implemented by a recently introduced generative model, the binary dynamic system~(BDS). We propose methods for learning a dictionary of BDSs from a training corpus, and for quantizing attribute sequences extracted from videos into these BDS code words. This procedure produces a representation of the video as a histogram of BDS code words, which is denoted the bag-of-words for attribute dynamics (BoWAD). An extensive experimental evaluation reveals that this representation outperforms other state-of-the-art approaches in temporal structure modeling for complex activity recognition. |
Year | DOI | Venue |
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2013 | 10.1109/CVPR.2013.334 | CVPR |
Keywords | Field | DocType |
complex activity recognition,video signal processing,image representation,novel video representation,video dynamics,temporal structure modeling,dynamics,short-term segment,models video dynamic,bowad,bds codewords,binary dynamic system,bag of words,attribute dynamics template,activity recognition,object recognition,video representation,quantizing attribute,attribute sequences,attribute dynamic,bag-of-words,bds code word,attribute dynamics,attribute,recognizing activities,video sequence,image motion analysis,clustering algorithms,vectors,semantics,dictionaries,trajectory,histograms | Bag-of-words model,Histogram,Computer vision,Activity recognition,Pattern recognition,Computer science,Artificial intelligence,Code word,Quantization (signal processing),Cognitive neuroscience of visual object recognition,Binary number,Generative model | Conference |
Volume | Issue | ISSN |
2013 | 1 | 1063-6919 |
Citations | PageRank | References |
27 | 0.85 | 23 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weixin Li | 1 | 637 | 20.78 |
Qian Yu | 2 | 121 | 8.17 |
Harpreet Sawhney | 3 | 265 | 14.93 |
Nuno Vasconcelos | 4 | 5410 | 273.99 |