| 摘要 |
This invention proposes an identification system for license plates captured in low-quality motion video, such as accidental footage from security cameras, amateur video, cell phones, etc, including situations when the license plate number is completely unreadable. This is done by dividing the surface of the license plate into a pattern of segments assigned to a number of groups, each group possessing unique optical properties such as shading, reflectivity, IR absorption, etc. Taking advantage of the the varied light response among the segment groups, the pattern can encode identifying information, e.g. a binary sequence, which helps identify the vehicle. Using image processing software, this information can be decoded from low-quality video footage via an analysis of temporally correlated luminance levels. The system thus allows the identification of vehicles captured accidentally and under poor lighting conditions, as in the case of a security camera in a convenience store capturing the image of a vehicle fleeing a nearby crime scene. |
