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Htike et al., 2014 - Google Patents

Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos

Htike et al., 2014

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Document ID
17637957835185127229
Author
Htike K
Hogg D
Publication year
Publication venue
2014 IEEE International Conference on Image Processing (ICIP)

External Links

Snippet

The growth in the amount of collected video data in the past decade necessitates automated video analysis for which pedestrian detection plays a key role. Training a pedestrian detector using supervised machine learning requires tedious manual annotation of …
Continue reading at eprints.whiterose.ac.uk (PDF) (other versions)

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