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

Pedagogy
Pedagogy
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Non-Invasive Real-Time Monitoring of Blood Pressure and Blood Glucose through Photoplethysmography leveraging IoMT and AI 
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Super Resolution of Mammograms for Breast Cancer Detection
Super Resolution of Mammograms for Breast Cancer Detection
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
Admissions Apply Now