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Multi-Object Tracking

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May 1, 2024 2 minute read

Multi-Object Tracking is a computer vision technique used to track multiple objects in a sequence of images or videos. It is a challenging task due to factors such as varying object appearances, occlusions, and motion blur. However, it has important applications in areas such as autonomous driving, video surveillance, and human-computer interaction.

Why Learn Multi-Object Tracking?

There are several reasons why one might want to learn about Multi-Object Tracking:

  • Curiosity: Multi-Object Tracking is a fascinating topic at the intersection of computer vision and machine learning. It presents interesting challenges and opportunities for research and exploration.
  • Academic Requirements: Multi-Object Tracking may be a required or elective course in computer science, engineering, or related programs.
  • Career Development: Multi-Object Tracking skills are in demand in various industries, including automotive, security, and robotics.

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Multi-Object Tracking.
Covers both the theory and applications of visual multi-object tracking, featuring contributions from leading researchers in the field.
Presents a comprehensive treatment of multiple hypothesis tracking, a technique for tracking multiple objects in cluttered environments. It covers both theoretical and practical aspects, with a focus on applications in radar and sonar systems.
Explores the use of discriminative correlation filters for object tracking and classification. It covers various filter designs and algorithms, as well as their application to different tracking and classification tasks.
Focuses on multi-object tracking using radar data, providing a deep understanding of this specific application.
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