000
| 03171cam 2200433zi 4500 |
---|
001 | 9.914432 |
---|
003 | CaOODSP |
---|
005 | 20230220105222 |
---|
006 | m o d f |
---|
007 | cr cn||||||||| |
---|
008 | 220815t20222022oncabdo obs f000 0 eng d |
---|
020 | |a9780660450414 |
---|
040 | |aCaOODSP|beng|erda|cCaOODSP |
---|
043 | |an-cn--- |
---|
086 | 1 |aCS18-001/2022-1E-PDF |
---|
100 | 1 |aEckert, James B., |eauthor. |
---|
245 | 10|aTraffic volume estimation from traffic camera imagery : |btoward real-time traffic data streams / |cby James Eckert and Ala'a Al-Habashna. |
---|
264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |c2022. |
---|
264 | 4|c©2022 |
---|
300 | |a1 online resource (27 pages) : |billustrations, maps, graphs, photographs. |
---|
336 | |atext|btxt|2rdacontent |
---|
337 | |acomputer|bc|2rdamedia |
---|
338 | |aonline resource|bcr|2rdacarrier |
---|
490 | 1 |aReports on special business projects |
---|
500 | |aCover title. |
---|
500 | |aIssued also in HTML format. |
---|
500 | |a"Release date: September 6, 2022." |
---|
500 | |aIssued also in French under title: Estimation du débit de circulation à partir des images de caméras de circulation : vers des flux de données sur la circulation en temps réel. |
---|
504 | |aIncludes bibliographical references (pages 26-27). |
---|
520 | |a"Traffic monitoring in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery. The process started with research on available traffic camera programs in Canada. Then, a prototype system was developed to collect imagery from three traffic camera jurisdictions through use of their Application Programming Interfaces (APIs). Different classes of vehicles were detected from these images. Object detection was implemented using the open source You Only Look Once, Version 3 object-detection model that was trained on the Common Objects in Context dataset. The processing system pulls static images at high-frequency intervals from the traffic camera APIs and generates real-time counts of the detected vehicles (car, bus, motorcycle, etc.). Finally, different methods of estimating traffic volumes from the counts were implemented and assessed. An analysis of the output data shows that clear traffic patterns and trends can be detected, lending support to an expansion of this system to a full-scale statistical program on a real-time mobility data"--Summary, page 7. |
---|
650 | 0|aTraffic monitoring|zCanada|vStatistics. |
---|
650 | 0|aReal-time data processing|zCanada|vStatistics. |
---|
655 | 7|aStatistics|2lcgft |
---|
710 | 2 |aStatistics Canada, |eissuing body. |
---|
775 | 08|tEstimation du débit de circulation à partir des images de caméras de circulation : |w(CaOODSP)9.914434 |
---|
830 | #0|aReports on special business projects.|w(CaOODSP)9.826502 |
---|
856 | 40|qPDF|s1.93 MB|uhttps://publications.gc.ca/collections/collection_2022/statcan/18-001-x/18-001-x2022001-eng.pdf |
---|
856 | 4 |qHTML|sN/A|uhttps://www150.statcan.gc.ca/n1/pub/18-001-x/18-001-x2022001-eng.htm |
---|