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Spacetime Forests with Complementary Features for Dynamic Scene Recognition
Published on Apr 03, 20142828 Views
This paper presents spacetime forests defined over complementary spatial and temporal features for recognition of naturally occurring dynamic scenes. The approach improves on the previous state-of-t
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Chapter list
Spacetime Forests with Complementary Features for Dynamic Scene Recognition00:00
Dynamic Scene Classification00:07
Challenges (1)00:27
Challenges (2)00:54
Challenges (3)01:20
Challenges (4)01:39
Related work02:03
Proposed temporal slicing02:51
Approach overview03:34
Complementary Spacetime Orientation (CSO) descriptor: Spatial information04:19
Complementary Spacetime Orientation (CSO) descriptor: Temporal information - 104:57
Complementary Spacetime Orientation (CSO) descriptor: Temporal information - 206:15
Local contrast normalization06:31
Complementary Spacetime Orientation (CSO) descriptor: Spatial information07:31
Complementary Spacetime Orientation (CSO) descriptor: Temporal information08:04
Complementary Spacetime Orientation (CSO) descriptor: Colour information08:54
Spacetime energy pooling09:20
Random forest classifier - 109:33
Random forest classifier - 209:47
Random forest classifier - 309:53
Spacetime Random Forest (STRF)10:04
Classification with spacetime forest10:42
Maryland “in the wild” dataset11:20
Results on Maryland “in the wild”11:50
YUPENN dynamic scenes dataset13:15
Results on YUPENN dynamic scenes13:30
Complementarity of CSO descriptor14:19
In Summary15:10