DETERMINING INDIVIDUAL NORMAL BEHAVIOR OF DRIVERS USING AN INTERACTIVE MODEL

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SADOUGHI YAZDI H.; LOTFIZAD M.; KABIR E.A.; FATHI MAHMOUD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: MODARES TECHNICAL AND ENGINEERING Year:2008 | Volume:- | Issue:30 (SPECIAL ISSUE ON ELECTRICAL ENGINEERING) Page(s): 21-38

Download Full-Text

Persian Verion

View:

971

Download:

Cites:

Information Journal Paper

Title

DETERMINING INDIVIDUAL NORMAL BEHAVIOR OF DRIVERS USING AN INTERACTIVE MODEL

Author(s)

SADOUGHI YAZDI H. | LOTFIZAD M. | KABIR E.A. | FATHI MAHMOUD | Issue Writer Certificate

Keywords

INTERACTIVE MODELQ2

HIDDEN MARKOV MODELQ3

NORMAL BEHAVIOURQ3

CENTERS TRANSITION MATRIXQ3

MOTION RECOGNITIONQ3

MULTI-OBJECT TRACKINGQ3

RLS PREDICTORQ3

Abstract

In this paper, an INTERACTIVE MODEL for individual NORMAL BEHAVIOUR of drivers is presented in which the mutual effect of vehicles has been incorporated. Temporal features obtained from vehicles tracking and their motion history is utilized for generating a model of NORMAL BEHAVIOUR. Because of nonstationarity of behavior, HIDDEN MARKOV MODEL has been used for INTERACTIVE MODEL. This model has three main parts. The first part is the history of antecedent trajectory which for this purpose has proposed a CENTERS TRANSITION MATRIX (CTM) that is some type of spatia-temporal information-data bank from motions seen in the old frames. The second part is based on the linguistic features or MOTION RECOGNITION of vehicles, these motions contain forward, turn right and left, lane changing to right and left motion. The third part is constituted from low level features which contain Velocity and distance to neighbor object. Also CTM is efficient in search at similar blob in image sequences and it can determine the radius and region of search. This top-down feedback caused an increment of performance of RLS tracker and object searching. In the presented system, we obtained a 81.2% membership rate to normal model. Also types of motion are recognized using HMM with a recognition rate of up to 82.7%. Prediction error is reduced on many vehicles trajectory by at least 80% using a feedback system.

Cites

DETERMINING OF CLASSIFIERS BEHAVIOR USING HIDDEN MARKOV MODEL BASED DECISION TEMPLATE

References

No record.

Cite

APA: Copy

SADOUGHI YAZDI, H., LOTFIZAD, M., KABIR, E.A., & FATHI, MAHMOUD. (2008). DETERMINING INDIVIDUAL NORMAL BEHAVIOR OF DRIVERS USING AN INTERACTIVE MODEL. MODARES TECHNICAL AND ENGINEERING, -(30 (SPECIAL ISSUE ON ELECTRICAL ENGINEERING)), 21-38. SID. https://sid.ir/paper/25113/en

Vancouver: Copy

SADOUGHI YAZDI H., LOTFIZAD M., KABIR E.A., FATHI MAHMOUD. DETERMINING INDIVIDUAL NORMAL BEHAVIOR OF DRIVERS USING AN INTERACTIVE MODEL. MODARES TECHNICAL AND ENGINEERING[Internet]. 2008;-(30 (SPECIAL ISSUE ON ELECTRICAL ENGINEERING)):21-38. Available from: https://sid.ir/paper/25113/en

IEEE: Copy

H. SADOUGHI YAZDI, M. LOTFIZAD, E.A. KABIR, and MAHMOUD FATHI, “DETERMINING INDIVIDUAL NORMAL BEHAVIOR OF DRIVERS USING AN INTERACTIVE MODEL,” MODARES TECHNICAL AND ENGINEERING, vol. -, no. 30 (SPECIAL ISSUE ON ELECTRICAL ENGINEERING), pp. 21–38, 2008, [Online]. Available: https://sid.ir/paper/25113/en

Related Journal Papers