Real-time traffic detection

摘要

Systems and methods for real-time traffic detection are described. In one embodiment, the method comprises capturing ambient sounds as an audio sample in a user device, and segmenting the audio sample into a plurality of audio frames. Further, the method comprises identifying periodic frames amongst the plurality of audio frames. Spectral features of the identified periodic frames are extracted, and horn sounds are identified based on the spectral features. The identified horn sounds are then used for real-time traffic detection.

主权项

1. A method for real-time traffic detection, wherein the method comprising:
capturing ambient sounds as an audio sample in a user device; segmenting the audio sample into a plurality of audio frames; identifying periodic frames amongst the plurality of audio frames, wherein the identifying comprises separating the plurality of audio frames into the periodic frames, non-periodic frames, and silenced frames based on a short term energy level (En) and a Power Spectral Density (PSD) of the plurality of audio frames; and extracting spectral features of the periodic frames for real-time traffic detection.