Back close

Night Time Video Enhancement for Person Detection

Project Incharge:padmavathi S
Co-Project Incharge:Abirami G

Video surveillance is an emerging field where it would become much more challenging when it concerns about the lighting conditions of the video taken at night time. Pedestrian detection would be very difficult under poor illumination condition and low contrast. The system proposes to improve the visual appearance and to bring out the finer details beyond the illuminated regions. With the help of day time reference image from day time video taken at same location with no camera motion, we adjust the illumination of night time video sequence

Related Projects

Artificial Intelligence based Self-Healing Protection in Smart Grid
Artificial Intelligence based Self-Healing Protection in Smart Grid
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District
ROS Based Autonomous Shopping Cart with e-Payment Facility
ROS Based Autonomous Shopping Cart with e-Payment Facility
Design and Control of Myo-Electric Prosthetic Arm
Design and Control of Myo-Electric Prosthetic Arm
3D Modelling from MRI Images
3D Modelling from MRI Images
Admissions Apply Now