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Multiple Object Tracking
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Welcome to the Multiple Object Tracking (MOT) Youtube Channel!

We cover many topics related to tracking,
1. Introduction to multiple object tracking
https://www.youtube.com/playlist?list=PLadnyz93xCLhSlm2tMYJSKaik39EZV_Uk
2. Single object tracking in clutter
https://www.youtube.com/playlist?list=PLadnyz93xCLiHWjLcLFdzc-SidNL1kRF7
3. Tracking a known number of objects in clutter
https://www.youtube.com/playlist?list=PLadnyz93xCLiCBQq1105j5Jeqi1Q6wjoJ
4. Random Finite Sets
https://www.youtube.com/playlist?list=PLadnyz93xCLhFinI8NO30-1e6SwCGRTIM
5. MOT using conjugate priors
https://www.youtube.com/playlist?list=PLadnyz93xCLjl51PzSoFhLLSp2hAYDY0H
6. Outlook - what's next?
https://www.youtube.com/watch?v=rolckWON8Xo&list=PLadnyz93xCLh0Wm8jkQYCdwpyGFl2c-6a

MOOC Multi-Object Tracking for Automotive Applications,
https://www.edx.org/course/multi-object-tracking-for-automotive-systems

Lecture slides: https://chalmersuniversity.app.box.com/s/kbkmglktznkb2tjlr9pqefz3ezbiyw8p

Sets of trajectories - basic concepts
9:07
Sets of trajectories - basic concepts
PMBM trackers - part 1
6:12
PMBM trackers - part 1
Deep Neural Networks
6:07
Deep Neural Networks
Extended object tracking - motivation
4:26
Extended object tracking - motivation
Supervised learning
5:56
Supervised learning
Simulation example 2 - closely spaced objects
5:38
Simulation example 2 - closely spaced objects
Single object measurement models
4:21
Single object measurement models
An introduction to object detection
4:57
An introduction to object detection
Simulation example
2:26
Simulation example
Single shot detectors - testing
3:54
Single shot detectors - testing
An introduction to deep learning
4:16
An introduction to deep learning
Sets of trajectories - motivation
9:03
Sets of trajectories - motivation
Simulation example 1 - missed detections
5:01
Simulation example 1 - missed detections
Single shot detectors - training
7:30
Single shot detectors - training
Pruning and clustering
6:54
Pruning and clustering
Extended object tracking algorithms and conjugate priors
5:30
Extended object tracking algorithms and conjugate priors
PMBM trackers - part 2
8:00
PMBM trackers - part 2
PMBM recursions for EOT
4:36
PMBM recursions for EOT
Challenges when using labels for trajectories
16:22
Challenges when using labels for trajectories
MBM update
16:30
MBM update
MBM Post Processing
8:30
MBM Post Processing
PMBM Density
9:48
PMBM Density
PMBM prediction
13:09
PMBM prediction
PMBM update: overview
9:13
PMBM update: overview
PMBM update: details
21:42
PMBM update: details
PMBM post processing
10:41
PMBM post processing
Implementation of Conjugate Multi-Object Filters
2:44
Implementation of Conjugate Multi-Object Filters
Local and Global Hypotheses in MBM Filters
2:55
Local and Global Hypotheses in MBM Filters
Local and Global Hypotheses in PMBM Filter
3:05
Local and Global Hypotheses in PMBM Filter
Reduction of Local and Global Hypotheses
2:31
Reduction of Local and Global Hypotheses
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