View source for 18303569. METHOD FOR GENERATING TRAFFIC EVENT VIDEO simplified abstract (INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE)

=METHOD FOR GENERATING TRAFFIC EVENT VIDEO=


==Organization Name==

[[:Category:INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE|INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE]]


[[Category:INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE]]

==Inventor(s)==

[[:Category:Hung-Kuo Chu of Hsinchu City (TW)|Hung-Kuo Chu of Hsinchu City (TW)]][[Category:Hung-Kuo Chu of Hsinchu City (TW)]]

[[:Category:Cheng-Hua Lin of New Taipei City (TW)|Cheng-Hua Lin of New Taipei City (TW)]][[Category:Cheng-Hua Lin of New Taipei City (TW)]]

[[:Category:Sheng-Yao Wang of New Taipei City (TW)|Sheng-Yao Wang of New Taipei City (TW)]][[Category:Sheng-Yao Wang of New Taipei City (TW)]]

[[:Category:Chia-Hao Yu of Kaohsiung City (TW)|Chia-Hao Yu of Kaohsiung City (TW)]][[Category:Chia-Hao Yu of Kaohsiung City (TW)]]

==METHOD FOR GENERATING TRAFFIC EVENT VIDEO - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18303569 titled 'METHOD FOR GENERATING TRAFFIC EVENT VIDEO

The method described in the patent application involves generating a traffic event video by aligning moving trajectory coordinates with an electronic map, obtaining trajectory map information, extracting a video segment, and synthesizing a virtual object with the video segment.

* Map alignment of moving trajectory coordinates with an electronic map
* Obtaining trajectory map information from the electronic map
* Extracting a video segment based on image frame information
* Synthesizing a virtual object with the video segment based on location information
* Generating a traffic event video corresponding to an event trajectory model

Potential Applications:
- Traffic monitoring and analysis
- Surveillance systems
- Virtual reality simulations
- Autonomous vehicle development
- Emergency response planning

Problems Solved:
- Efficiently generating traffic event videos
- Integrating virtual objects into video footage
- Enhancing situational awareness in traffic scenarios

Benefits:
- Improved visualization of traffic events
- Enhanced data collection for analysis
- Real-time monitoring capabilities
- Enhanced training simulations for various industries

Commercial Applications:
Title: "Advanced Traffic Event Video Generation Technology"
This technology can be utilized in traffic management systems, security surveillance solutions, virtual training environments, and autonomous vehicle testing facilities. The market implications include improved safety measures, enhanced data collection for traffic analysis, and increased efficiency in emergency response planning.

Questions about the technology:
1. How does this technology improve traffic monitoring and analysis?
2. What are the potential applications of integrating virtual objects into video footage?

Frequently Updated Research:
Researchers are continuously exploring new ways to enhance the accuracy and efficiency of traffic event video generation technology. Stay updated on the latest advancements in this field to leverage its full potential in various industries.


==Original Abstract Submitted==

A method for generating a traffic event video includes the following. Map alignment of a set of moving trajectory coordinates corresponding to a moving video with an electronic map is performed, and a set of trajectory map information corresponding to the moving trajectory coordinates is obtained from the electronic map. At least one event map information conforming to an event trajectory model from the set of trajectory map information and a plurality of image frame information of the moving video corresponding to the image frame information of the trajectory map information are obtained, and a plurality of location information of a virtual object is generated according to the event trajectory model. A video segment is extracted from the moving video based on the image frame information, and the virtual object and the video segment are synthesized based on the location information to generate a traffic event video corresponding to the event trajectory model.



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