Real-time high density people counter using morphological tools

• Published in: IEEE transactions on intelligent transportation systems Vol. 2; no. 4; pp. 204 - 218
• Main Authors: Albiol, A., Mora, I., Naranjo, V.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01.12.2001; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Applied sciences; Cameras; Carriages; Costs; Counting circuits; Exact sciences and technology; Ground, air and sea transportation, marine construction; Hardware; High density; Illumination; Image analysis; Image sequence analysis; Image sequences; Industrial metrology. Testing; Lighting; Mechanical engineering. Machine design; Non-destructive testing: methods and equipments; Rail transportation; Real time; Trains; Transportation systems; Traffic meter; Computer vision; Image analysis; Morphological classification; Image processing; Image sequence; Illumination; Rail transportation; Real time system; Optical flow
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/6979.969366

Deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it is crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper.