研究目的
Investigating the current capabilities and limitations of computer vision technology, particularly in tracking objects across multiple cameras and assigning meaning to visual data, to enhance its utility in smart cities and manufacturing.
研究成果
The advancement of computer vision technology requires overcoming current limitations such as speed, accuracy, and the ability to assign meaning to visual data. Future research should focus on developing algorithms that can track objects across multiple cameras in real time and interpret the meaning of visual data.
研究不足
Computers still need more time than a human to recognize a person or action. They can’t follow a person or object between multiple video cameras. They can be fooled easily. They can’t assign meaning to what they see.
