Introduction to Multi-Object Tracking (MOT)

Multi-Object Tracking (MOT) is an essential task in computer vision that involves tracking multiple objects in both recorded videos and real-time live-streaming scenarios. As a longstanding goal in computer vision and machine learning, MOT is becoming increasingly important and widely applied in various fields, including autonomous driving, traffic monitoring and flow counting, and many more. MOT plays a crucial role in autonomous driving. Its primary function involves tracking the trajectories…

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eBook: Beginner’s Guide to Multi-Object Tracking with Kalman Filter

Unlock the fascinating world of Multi-Object Tracking (MOT) with my comprehensive, practical book, "Beginner's Guide to Multi-Object Tracking with Kalman Filter". Whether you're a student, a computer vision practitioner, a robotics engineer, or simply someone fascinated by the technology behind tracking multiple objects, this book serves as your gateway to mastering the art of tracking multiple objects in real-world scenarios.

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Object Tracking: 2-D Object Tracking using Kalman Filter in Python

In this tutorial, we're going to continue our discussion about the object tracking using Kalman Filter. Specifically in this part, we're going to discover 2-D object tracking.

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Object Tracking: Simple Implementation of Kalman Filter in Python

In this tutorial, I will provide the concept and implementation of a popular object tracking algorithm, namely Kalman filter.

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