Name
Abstract | ||
|---|---|---|
Intelligent video surveillance technology has changed the traditional passive reception mode. It can real-time, automatically and intelligently analyze video data to improve its efficiency and reliability. This paper presents a set of efficient expression and deep analysis platform for massive traffic video, which can connect the surveillance cameras from urban transport systems, and perceive the state of people, vehicles, roads and other elements using intelligent visual perception technology, and extract relevant semantic structure information from the non-structured video content and display it in structured text language. Then, its main contents and key technologies are analyzed. Finally, an application case in Guangzhou, China is given. The system can be used for intelligent expression, deep analysis, detection, identification, archiving and management of massive traffic video data, to provide a complete information services for the managers and users. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | Computer vision,Structured text,Artificial intelligence,Engineering,Multimedia,Visual perception,Complete information |
DocType | ISSN | Citations |
Conference | 2153-0009 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xisong Dong | 1 | 47 | 13.05 |
| Gang Xiong | 2 | 299 | 92.20 |
| Bin Hu | 3 | 20 | 4.77 |
| Fenghua Zhu | 4 | 193 | 33.75 |
| Zhen Shen | 5 | 6 | 5.53 |