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Multi-Object tracking using Deep Learning

Summary:

Multi-Object Tracking in basketball videos using Deep Learning.

Goal: Applying GRU (= Gated Recurrent Unit) in order to track basketball players in videos.

Programming language: Python

Steps that I think that need to be taken:

1. Extract frames from video at timestamps specified the labels

2. Detect objects that need to be tracked using a pre-trained network (e.g., ResNet-50, VGG16 or alike)

3. Match detections with ground_truth bounding box coordinates

4. Apply GRU to track the players in multiple frames and predict the position of the players in frame t + 1.

5. Evaluate the performance using a MOT-2D benchmark

video to be tracked: [login to view URL]

Attachment: bounding box coordinates of each player at a certain time.

Contains the following columns:

- column 1: YouTube ID

- column 2: Time corresponding to the video frame, in microsec.

- column 3: Top-left x-coordinate of player bounding box in frame relative to frame width.

- column 4: Top-left y-coordinate of player bounding box in frame relative to height

- column 5: Width of player bounding box relative to frame width.

- column 6: Height of player bounding box relative to frame height.

- column 7: A player ID

Evner: Machine Learning (ML), Python

Se mere: gps tracking using iphone, ole object access using vb6 code, university projects vehicle tracking using gsmgps microcontroller, object tracking deep learning github, online multi-target tracking using recurrent neural networks, online multi-object tracking with convolutional neural networks, multi object tracking deep learning, object tracking in video deep learning, deep reinforcement learning for visual object tracking in videos github, deep network flow for multi-object tracking github, person tracking deep learning, donation tracking using mysql, multi language site using zend, google api server gps tracking using aspnet, attendance tracking using php freeware, car tracking using 8051, object tracking using kalman filter, using kalman object tracking, software package multi object tracking, moving object tracking using matlab

Om arbejdsgiveren:
( 0 bedømmelser ) Breda, Netherlands

Projekt ID: #19256620

11 freelancere byder i gennemsnit €271 på dette job

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