Benchmark:

MOT17Det |

Short name:

DPM

Description:

At a high level DPM can be characterized by the combination of

* Strong low-level features based on histograms of oriented gradients (HOG)
* Efficient matching algorithms for deformable part-based models (pictorial structures)
* Discriminative learning with latent variables (latent SVM)

Reference:

P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. Object Detection with Discriminatively Trained Part Based Models. In TPAMI, 2010.

Last submitted:

February 14, 2017 (7 years ago)

Published:

February 14, 2017 at 06:22:59 CET

Submissions:

3

Project page / code:

http://people.cs.uchicago.edu/~rbg/latent-release5/

Open source:

Yes

Hardware:

3GHz

Runtime:

19.7 Hz

Benchmark performance:

Detailed performance:

Raw data:

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