Overview
This 4-day course presents the core technologies of audio-visual sensing and sense making fundamentals, and practical audio/video analytics skills and strategies for real-world industrial implementations through workshop sessions.
This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.
Course Description & Learning Outcomes
At the end of the course, participants will be able to: - Identify needs of real time audio-visual sensing technology and sense making methods in various industrial applications - Design and apply audio-visual sense making methods to industrial use cases, including audio sensing, video analytics approaches. - Assess the performance and usefulness of various real time audio-visual sense making technologies - Apply critical analysis, evaluation and synthesis to a wide range of audio-visual sensing problems - Analyse, articulate and apply the new skills in their work and that of their teams and organisations
Recommended Prerequisites
- Participants should have intermediate skills in Python programming (e.g., Numpy, Pandas). - Participants are required to have an intermediate knowledge of computer vision at the level of Vision Systems, e.g., image processing, feature extraction and representation, object classification, detection and segmentation - Participants should be familiar with Tensorflow/Keras to build deep convolutional neural network model (e.g., VGG) to perform image classification and Python-based OpenCV programming to extract LBP/HOG features from the image - Intermediate mathematics and statistics knowledge, e.g. linear algebra, probability.
Pre-course instructions
- No printed copies of course materials are issued. - Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials. Registration close date: 03/01/2024
Schedule
Date: 24 Jan 2024, Wednesday
Time: 12:00 AM - 12:00 AM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Day 1 | - Introduction to real time audio-visual sensing systems - Real time video sensing: Modelling and processing - Workshop on real time video processing, such as real time object tracking in video |
| Day 2 | - Real time video analytics: Motion and tracking - Workshop on real time video analytics, such as human action video classification |
| Day 3 | - Real time audio analytics and recognition - Workshop on audio analytics and recognition |
| Day 4 | - Sense making from multi-modal audio-visual data - Workshop and case studies of real-time audio-visual sensing applications - Written assessment test |
Pricing
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