Great Streets + Department of Transportation + Information Technology Agency - Count Machine
The City currently does bicycle and pedestrian counts via having a person manually the number of cyclists and pedestrians that go through an intersection via a video capture.
However, thanks to advances in Machine Vision technology, we could now automate that, allowing us to constantly count the number of pedestrians and cyclists, rather than only doing a 24 hour sample.
This project is a proof of concept of how we could count the number folks moving through our streets.
Jeanne Holm, ITA
Great Streets - WHO?
DOT - WHO?
CSU LA, Dr. Mohammad Pourhomayoun
Long term, allow us to know annual active transportation counts for key corridors.
Using the Google Machine Vision API or similar algorithm, take data from video feeds and produce bicycle and pedestrian counts in the same format we got before.
- Video Data (see s3://traffic-video-lacity/). To download the video data, install the AWS Command Line Tools and run
aws s3 cp --recursive s3://traffic-video-lacity/ /local/path/for/data.
- Count Ouput data (see