dpernes/FCN-rLSTM
FCN-rLSTM for vehicle counting in city cameras (unofficial implementation)
This helps traffic managers and city planners automatically count vehicles from city camera footage. You provide video streams from traffic cameras, and it outputs the number of vehicles detected. This is ideal for professionals needing to analyze traffic flow, optimize signal timing, or understand congestion patterns.
No commits in the last 6 months.
Use this if you need to reliably count vehicles from surveillance camera video to understand traffic patterns and congestion.
Not ideal if you need to identify specific vehicle types, track individual vehicles across multiple cameras, or analyze complex pedestrian-vehicle interactions.
Stars
13
Forks
3
Language
Python
License
—
Category
Last pushed
Jul 06, 2023
Commits (30d)
0
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