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on
1
Outline
2
Motivation
3
Overall System
4
CNN architecture
5
Integrating counter
6
Outer system
7
Start counting
8
Update counting
9
End counting
10
Multiple detectors
11
Online mode counting
12
ROI detection
13
Dataset
14
Synthetic data
15
Training CNN
16
Benchmark - Online mode
17
Results
Description:
Learn about a novel approach to live repetition counting in video streams through this 29-minute lecture from the University of Central Florida. Explore the motivation behind the system, its overall architecture including CNN design, and the integration of counters. Discover how the system handles start, update, and end counting processes, as well as multiple detectors and online mode counting. Gain insights into ROI detection, dataset creation using synthetic data, CNN training techniques, and benchmark results in online mode. Understand the practical applications and performance of this innovative repetition counting system.

Live Repetition Counting - CNN Architecture and System for Online Motion Detection

University of Central Florida
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