SMOT: The Way They Move: Tracking Multiple Targets with Similar Appearance


Benchmark:

Short name:

SMOT

Detector:

Public

Description:

We introduce a computationally efficient algorithm for
multi-object tracking by detection that addresses four main
challenges: appearance similarity among targets, missing
data due to targets being out of the field of view or oc-
cluded behind other objects, crossing trajectories, and cam-
era motion. The proposed method uses motion dynamics as
a cue to distinguish targets with similar appearance, min-
imize target mis-identification and recover missing data.
Computational efficiency is achieved by using a General-
ized Linear Assignment (GLA) coupled with efficient proce-
dures to recover missing data and estimate the complexity
of the underlying dynamics. The proposed approach works
with tracklets of arbitrary length and does not assume a
dynamical model a priori, yet it captures the overall mo-
tion dynamics of the targets. Experiments using challenging
videos show that this framework can handle complex target
motions, non-stationary cameras and long occlusions, on
scenarios where appearance cues are not available or poor.

[Parameters]
min_s=0.017883
mota_th=0.52953
hor=13.3269
eta_max=0.72506

Project page / code:

Reference:

C. Dicle, O. Camps, M. Sznaier. The Way They Move: Tracking Targets with Similar Appearance. In ICCV, 2013.

Processing:

Batch

Last submitted:

February 20, 2015 (5 years ago)

Published:

November 01, 2014 at 03:09:33 CET

Submissions:

1

Open source:

Yes

Hardware:

2.6 GHz, 16 Cores

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
2D MOT 201518.20.071.220.0395.08,78040,3101,148

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
ADL-Rundle-16.70.071.42.08.03,2905,172221
ADL-Rundle-317.90.072.43.011.02,2335,873240
AVG-TownCentre15.00.070.05.0132.05995,40476
ETH-Crossing19.30.074.71.017.0167849
ETH-Jelmoli28.10.073.54.018.02711,51241
ETH-Linthescher14.80.074.13.0155.0837,46958
KITTI-1619.70.073.20.05.01151,20942
KITTI-1914.10.066.51.030.08803,61098
PETS09-S2L234.40.070.00.010.04755,602251
TUD-Crossing43.90.073.01.02.03555033
Venice-112.60.071.70.07.07833,12579

Raw data:


SMOT