- Title: Object classification using both video and audio
- Description: This is a joint thesis proposal together with Axis Communications AB. In the project we will use both multiple axis cameras and microphones in order to detect, track and classify traffic-users (cars, bicycles, pedestrians) based on both multiple images and multiple audio. Such tracks can be used to assess trafic safety parameters and reduce risks for accidents in traffic. In the project there are several potential areas to focus on, e g camera and/or microphone node calibration, audio feature detection and tracking, audio and video feature extraction, machine learning and classification of traffic-user type.
- Contact: Karl Åström
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Last update: 2013-04-11
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