Vehicle-pedestrian classification with road context recognition using convolutional neural networks

• Main Authors: Billones, Robert Kerwin C., Bandala, Argel A., Gan Lim, Laurence A., Culaba, Alvin B., Vicerra, Ryan Rhay P., Sybingco, Edwin, Fillone, Alexis M., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Vehicle detectors; Pedestrian inertial navigation systems; Context-aware computing; Sensor networks; Traffic flow; Manufacturing; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2990
• Institution: De La Salle University

In road traffic scene analysis, it is important to observe vehicular traffic and how pedestrian foot traffic affects the over-all traffic situation. Road context is also significant in proper detection of vehicles and pedestrians. This paper presents a vehicle-pedestrian detection and classification...