Method

Continuous Energy Minimization [CEM]
http://research.milanton.net/contracking/

Submitted on 3 Jun. 2014 02:27 by
Anton Milan (University of Adelaide)

Running time:0.09 s
Environment:1 core @ >3.5 Ghz (Matlab + C/C++)

Method Description:
Multi-target tracking is performed as minimization
of a continuous energy that includes many important
aspects. Besides the image evidence, the energy
function takes into account physical constraints,
such as target dynamics, mutual exclusion, and track
persistence. A suitable optimization scheme that
alternates between continuous conjugate gradient
descent and discrete trans-dimensional jump moves is
able to find strong local minima of the proposed
non-convex energy.
Parameters:
Provided L-SVM detections with a score above 0.0
servce as input, along with the following
parameters:
wtEdyn=1
wtEexc=0.5
wtEper=0.5
wtEreg=0.25
lambda=0.15

The ooptimization is initialized with the Dynamic
Programming [DP] solution of [Pirsiavash et al.].
No appearance and no occlusion modeling is used in
this setting.
Latex Bibtex:
@article{Milan2014PAMI,
author = {Milan, A. and Roth, S. and Schindler, K.},
title = {Continuous Energy Minimization for Multitarget Tracking},
volume = {36},
issn = {0162-8828},
doi = {10.1109/TPAMI.2013.103},
number = {1},
journal = {IEEE TPAMI},
year = {2014},
pages = {58--72}
}

Detailed Results

From all 29 test sequences, our benchmark computes the HOTA tracking metrics (HOTA, DetA, AssA, DetRe, DetPr, AssRe, AssPr, LocA) [1] as well as the CLEARMOT, MT/PT/ML, identity switches, and fragmentation [2,3] metrics. The tables below show all of these metrics.


Benchmark HOTA DetA AssA DetRe DetPr AssRe AssPr LocA
CAR 43.41 % 41.72 % 45.77 % 43.72 % 76.72 % 47.45 % 83.68 % 80.44 %
PEDESTRIAN 25.83 % 25.54 % 26.41 % 27.54 % 60.66 % 27.91 % 68.34 % 73.43 %

Benchmark TP FP FN
CAR 18794 15598 807
PEDESTRIAN 8492 14658 2020

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 51.34 % 77.26 % 52.30 % 330 38.91 %
PEDESTRIAN 26.59 % 68.27 % 27.96 % 317 14.95 %

Benchmark MT rate PT rate ML rate FRAG
CAR 20.31 % 47.85 % 31.85 % 275
PEDESTRIAN 8.93 % 39.52 % 51.55 % 526

Benchmark # Dets # Tracks
CAR 19601 829
PEDESTRIAN 10512 480

This table as LaTeX