Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
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Updated
May 8, 2020 - Python
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
FastER RCNN built on tensorflow
Pedestrian simulator powered by the social force model
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
Another AI toy project, of a traffic intersection controlled by a Reinforcement Learning AI agent to optimize traffic flow in an intersection of vehicles or pedestrians
Caltech Pedestrian Dataset Converter
pedestrian detection in hazy weather
Driver assistant - GTU Undergraduate Project II - 2016
Integrated Learning Framework for Pedestrian Tracking
prt5-file parser for NIST's Fire Dynamics Simulator (FDS) http://www.chraibi.de/prt5parser/
Tensorflow implementation of Repulsion Loss.
A simple lighting system for autonomous vehicle to human communications.
Automatic classification of pedestrian trajectories using clustering techniques.
Use multiple cameras to track a target pedestrian
Real estate and pedestrian traffic dataset.
A vehicle-pedestrian interaction framework for simulation.
Smart pedestrian semaphone, basic version.
Crowd Simulation using Social Force Model
Top-down death race clone in flash
A Netlogo Model to simulate pedestrian movement in the district of Gievenbeck
Machine Learning project to detect whether the pedestrian would get affected in a road accident or not, based on various factors.
Pedestrian detector hack using raspberry pi camera, node streams, and hyperx/v-dom
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