I am stuck trying to learn how to use video processing as explained in the linked papers in the area of human behavior detection or traffic surveillance (any kind of monitoring activity). In particular, I do not know how to formulate the problem using any available models.I have found two papers (Haag & Nagel (2000; Paper 1) and Arens, Gerber, & Nagel (2008; Paper 2)) which illustrate, with an example, using natural language for traffic monitoring by using image sequences of videos. My question areUnder what assumptions are the actions generated?What is the advantage of nlp here or in any application apart from the fact that it gives a hierarchical representation of information/knowledge?How are the actions and graphs (labelled as Situation Graph Trees by the author) generated (under what assumptions) in Fig2 of Paper 1 and Fig1 of Paper 2?Has the Table5 in paper1: Incremental recognition of traffic situations from video image sequences and subsequent tables been generated using some programming tools?ReferencesHaag, M., & Nagel, H.-H. (2000) Incremental recognition of traffic situations from video image sequences. Image and Vision Computing 18(2): 137-153.Arens, M., Gerber, R., & Nagel H.-H. (2008) Conceptual representations between video signals and natural language descriptions. Image and Vision Computing 26: 5366.
Using natural language processing for traffic monitoring from video
cognitive modeling;computational modeling;agent based modeling;nlp