MOT16: A Benchmark for Multi-Object Tracking

03/02/2016
by   Anton Milan, et al.
0

Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of performance and are therefore important guides for reseach. Recently, a new benchmark for Multiple Object Tracking, MOTChallenge, was launched with the goal of collecting existing and new data and creating a framework for the standardized evaluation of multiple object tracking methods. The first release of the benchmark focuses on multiple people tracking, since pedestrians are by far the most studied object in the tracking community. This paper accompanies a new release of the MOTChallenge benchmark. Unlike the initial release, all videos of MOT16 have been carefully annotated following a consistent protocol. Moreover, it not only offers a significant increase in the number of labeled boxes, but also provides multiple object classes beside pedestrians and the level of visibility for every single object of interest.

READ FULL TEXT

page 1

page 3

page 4

page 9

research
03/19/2020

MOT20: A benchmark for multi object tracking in crowded scenes

Standardized benchmarks are crucial for the majority of computer vision ...
research
10/15/2020

MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking

Standardized benchmarks have been crucial in pushing the performance of ...
research
11/24/2020

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Multiple Object Tracking (MOT) has witnessed remarkable advances in rece...
research
04/08/2015

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

In the recent past, the computer vision community has developed centrali...
research
03/06/2023

Referring Multi-Object Tracking

Existing referring understanding tasks tend to involve the detection of ...
research
11/28/2018

Tracking Systems as Thinging Machine: A Case Study of a Service Company

Object tracking systems play important roles in tracking moving objects ...
research
03/23/2017

Planar Object Tracking in the Wild: A Benchmark

Planar object tracking plays an important role in computer vision and re...

Please sign up or login with your details

Forgot password? Click here to reset