JPDA_m: Joint Probabilistic Data Association Revisited


Video not available.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT15 |

Short name:

JPDA_m

Detector:

Public

Description:

In this paper, we revisit the joint probabilistic data association (JPDA) technique and propose a novel solution based on recent developments in finding the m-best solutions to an integer linear program. The key advantage of this approach is that it makes JPDA computationally tractable in applications with high target and/or clutter density, such as spot tracking in fluorescence microscopy sequences and pedestrian tracking in surveillance footage. We also show that our JPDA algorithm embedded in a simple tracking framework is surprisingly competitive with state-of-the-art global tracking methods in these two applications, while needing considerably less processing time.

Reference:

H. Rezatofighi, A. Milan, Z. Zhang, Q. Shi, A. Dick, I. Reid. Joint Probabilistic Data Association Revisited. In ICCV, 2015.

Last submitted:

April 14, 2015 (7 years ago)

Published:

April 22, 2015 at 09:02:53 CET

Submissions:

2

Open source:

No

Hardware:

3 GHz, 1 Core

Runtime:

32.6 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1523.833.80.036 (5.0)419 (58.1)6,37340,08434.877.00.00.00.00.00.00.00.01.1365 (10.5)869 (25.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
ADL-Rundle-10.00.00.000000.00.00.00.00.00.00.00.00.00.000
ADL-Rundle-30.00.00.000000.00.00.00.00.00.00.00.00.00.000
AVG-TownCentre0.00.00.000000.00.00.00.00.00.00.00.00.00.000
ETH-Crossing0.00.00.000000.00.00.00.00.00.00.00.00.00.000
ETH-Jelmoli0.00.00.000000.00.00.00.00.00.00.00.00.00.000
ETH-Linthescher0.00.00.000000.00.00.00.00.00.00.00.00.00.000
KITTI-160.00.00.000000.00.00.00.00.00.00.00.00.00.000
KITTI-190.00.00.000000.00.00.00.00.00.00.00.00.00.000
PETS09-S2L20.00.00.000000.00.00.00.00.00.00.00.00.00.000
TUD-Crossing0.00.00.000000.00.00.00.00.00.00.00.00.00.000
Venice-10.00.00.000000.00.00.00.00.00.00.00.00.00.000

Raw data: