DeepSORT - DEEP LEARNING applied to OBJECT TRACKING | OpenCV Python | Computer Vision |2021
So in this video, Im going to give to you a clear and simple explanation on how Deep SORT works and why its so amazing compared to other models in this computer vision lecture. We implement this in OpenCV in the following course:
⭐6-in-1 AI Mega Course - https://augmentedstartups.info/AugmentedAICVPRO
⭐FREE DeepSORT+ YOLOv4 Course - https://augmentedstartups.info/yolov4release
But to understand how DeepSORT works, we first have to go back, waaay back and understand the fundamentals of object tracking and the key innovations that had to happen along the way, for DeepSORT to emerge.
Now tracking assumes that we have an already detected an object of interest. For detection as you may already know is done with YOLOv4. Once we have detected the object, it is assigned an id and is tracked using Deep SORT. We use an example with Elon Musk and SpaceX
So in this application, we have applied deep sort for tracking of vehicles on a highway for traffic surveillance applications.
------------------------------------------------------------
Learn Advanced Tutorials
►Augmentedstartups.info/Teachable-AI-Bootcamp
Support us on Patreon
►AugmentedStartups.info/Patreon
Chat to us on Discord
►AugmentedStartups.info/discord
Interact with us on Facebook
►AugmentedStartups.info/Facebook
Check my latest work on Instagram
►AugmentedStartups.info/instagram
------------------------------------------------------------
0:00 - Introduction
0:42 - Object Tracking
2:39 - Optical Flow and Mean Shift
3:01 - Mean Shift
3:58 - Optical Flow
5:10 - Kalman Filter
7:00 - Simple Online Realtime Tracking (SORT)
7:55 - Detection
8:21 - Estimation
9:00 - Target Association
9:31 - Track Identities life Cycle
10:30 - DeepSORT
11:27 - Deep Learning
12:13 - The Appearance feature Vector
13:03 - Climax of the Story
Видео DeepSORT - DEEP LEARNING applied to OBJECT TRACKING | OpenCV Python | Computer Vision |2021 канала Augmented Startups
⭐6-in-1 AI Mega Course - https://augmentedstartups.info/AugmentedAICVPRO
⭐FREE DeepSORT+ YOLOv4 Course - https://augmentedstartups.info/yolov4release
But to understand how DeepSORT works, we first have to go back, waaay back and understand the fundamentals of object tracking and the key innovations that had to happen along the way, for DeepSORT to emerge.
Now tracking assumes that we have an already detected an object of interest. For detection as you may already know is done with YOLOv4. Once we have detected the object, it is assigned an id and is tracked using Deep SORT. We use an example with Elon Musk and SpaceX
So in this application, we have applied deep sort for tracking of vehicles on a highway for traffic surveillance applications.
------------------------------------------------------------
Learn Advanced Tutorials
►Augmentedstartups.info/Teachable-AI-Bootcamp
Support us on Patreon
►AugmentedStartups.info/Patreon
Chat to us on Discord
►AugmentedStartups.info/discord
Interact with us on Facebook
►AugmentedStartups.info/Facebook
Check my latest work on Instagram
►AugmentedStartups.info/instagram
------------------------------------------------------------
0:00 - Introduction
0:42 - Object Tracking
2:39 - Optical Flow and Mean Shift
3:01 - Mean Shift
3:58 - Optical Flow
5:10 - Kalman Filter
7:00 - Simple Online Realtime Tracking (SORT)
7:55 - Detection
8:21 - Estimation
9:00 - Target Association
9:31 - Track Identities life Cycle
10:30 - DeepSORT
11:27 - Deep Learning
12:13 - The Appearance feature Vector
13:03 - Climax of the Story
Видео DeepSORT - DEEP LEARNING applied to OBJECT TRACKING | OpenCV Python | Computer Vision |2021 канала Augmented Startups
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Kalman Filter - Fun & EasyCV3DST - Object trackingYOLOv3 + Deep Sort tracking by yehengchenObject Tracking with Opencv and PythonWhat is YOLO algorithm? | Deep Learning Tutorial 31 (Tensorflow, Keras & Python)Python: Real-time Multiple Object Tracking (MOT) with Yolov3, Tensorflow and Deep SORT [FULL COURSE]YOLOv5 Controversy — Is YOLOv5 Real? | Computer Vision | OpenCVI Made A Water Computer And It Actually WorksDemo of vehicle tracking and speed estimation at the 2nd AI City Challenge Workshop in CVPR 2018YOLO people detection + SORT trackingUnderstanding Kalman Filters, Part 1: Why Use Kalman Filters?Face Recognition Attendance GUI PyQt - 1 Hour Course | OpenCV Python | Computer Vision |2021Object Tracking Using YOLOv4, Deep SORT, and TensorFlowCV3DST - Multi-object trackingHOW TO LEARN ANY LANGUAGE IN 6 MONTHSVisually Explained: Kalman FiltersTrain YOLO to detect a custom object (online with free GPU)Homography in computer vision explainedObject detection & tracking using Yolov3 Deep Sort - 1