Towards Understanding Action Recognition

Although action recognition in videos is widely studied, current methods often fail on real-world datasets. Many recent approaches improve accuracy and robustness to cope with challenging video sequences, but it is often unclear what affects the results most. This paper attempts to provide insights...

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Bibliographic Details
Main Authors: Hueihan Jhuang, Gall, Juergen, Zuffi, Silvia, Schmid, Cordelia, Black, Michael J.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
action recognition
Algorithms
annotation
Computer vision
Conferences
dataset
Estimation
Ground truth
Human
JHMDB
Joints
Level (quantity)
Motion pictures
optical flow estimation
pose estimation
Recognition
Robustness
Trajectory
Vectors
Videos
Online Access:Request full text
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