Benchmark:

MOT16 |

Short name:

GMPHD_HDA

Detector:

Public

Description:

Stage 1: low-level association between targets states and observations(i.e., detection responses), frame by frame
-We only used detection reponses with the positive confidence value among provided detection results

Stage 2: short tracklet elimination under the set length(parameter)
-Minimum tracklet length for mid-level association : 10

Stage 3: mid-level association between rough tracklets(almost fragmented or ID swtiched)
-Only Motion and size are used
-Appearance is not used

Reference:

Y. Song, M. Jeon. Online Multiple Object Tracking with the Hierarchically Adopted GM-PHD Filter using Motion and Appearance. In IEEE/IEIE The International Conference on Consumer Electronics (ICCE) Asia, 2016.

Last submitted:

August 07, 2016 (8 years ago)

Published:

August 09, 2016 at 22:37:16 CET

Submissions:

1

Project page / code:

https://sites.google.com/view/mlv/people/members/young-min-song

Open source:

No

Hardware:

3.5 GHz, 1 Core

Runtime:

13.6 Hz

Benchmark performance:

Detailed performance:

Raw data:

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