165 search results - page 26 / 33 » Action recognition by learning mid-level motion features |
SCVMA
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
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Voted
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
AAAI
2011
13 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segmen...