A group of engineers and researchers working out of the University of California, San Diego have invented a high-tech pedestrian detection system that is capable of performing pedestrian recognition in a more accurate manner than existing systems.
Most pedestrian recognition technologies divide images into smaller sections that are processed in order to determine whether the image represents a human form. This makes things challenging because humans obviously come in different shapes and sizes, something which throws up complications. However this new pedestrian detection system detects images in stages rather than one go, allowing for easy rejection of image frames that don't contain human forms.
This pedestrian detection algorithm offers a lot of promise in various settings. Self-driving vehicles are the most obvious applications, but they could also be of use in robotics as well as image search systems.
Pedestrian Detection Algorithms
This New Technology is More Accurate Than Existing Alternatives
Trend Themes
1. High-tech Pedestrian Detection - Opportunity for developing advanced systems capable of accurately detecting pedestrians in various settings.
2. Stage-based Image Detection - Disruptive innovation opportunity to improve accuracy in pedestrian recognition by processing images in stages rather than as a whole.
3. Multi-application Potential - Potential to apply pedestrian detection algorithms in self-driving vehicles, robotics, and image search systems, creating disruptive innovations in multiple industries.
Industry Implications
1. Automotive - Opportunity to integrate high-tech pedestrian detection algorithms into self-driving vehicles, enhancing safety and accuracy.
2. Robotics - Disruptive innovation opportunity for robotics industry by implementing advanced pedestrian detection systems in robotic applications.
3. Computer Vision - Potential for disruptive innovation in image search systems by incorporating accurate pedestrian detection algorithms.