Real Time Multiple Object Tracking from Video based on Background Subtraction Algorithm

  Neha Goyal,  Bhavneet Kaur,  Raman Chadha

Visual reconnaissance in element scenes, particularly for people and vehicles, is at present a standout amongst the most dynamic exploration points in PC vision. It has a wide range of promising applications, incorporating access control in extraordinary ranges, human identification at a distance, group flux measurements and blockage investigation, identification of odd practices, and intelligent reconnaissance utilizing numerous cameras, and so forth. As a rule, the handling system of visual observation in element scenes incorporates the taking after stages: displaying of situations, identification of movement, and characterization of moving items, following, comprehension and depiction of practices, human identification proof, and combination of information from different cameras. We survey late improvements and general systems of every one of these stages. At last, we investigate conceivable research headings, e.g., impediment taking care of, a mix of two and three-dimensional following, a blend of movement examination what's more, biometrics, abnormality recognition and conduct forecast, substance based recovery of reconnaissance features, conduct understanding what's more, common dialect portrayal, combination of data from various sensors, and remote reconnaissance.

Keywords- Object tracking, SLAM, DATMO, Bayesian framework

Unique Identification Number - IJEDR1503017
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | July 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Neha Goyal,  Bhavneet Kaur,  Raman Chadha,   "Real Time Multiple Object Tracking from Video based on Background Subtraction Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., July 2015, Available at :http://www.ijedr.org/papers/IJEDR1503017.pdf