By Erez Berkovich, Hillel Pratt, Moshe Gur (auth.), Barbara Caputo, Markus Vincze (eds.)
This quantity constitutes the post-conference lawsuits of the 4th foreign Cognitive imaginative and prescient Workshop, ICVW 2008, held in Santorini, Greece, on may well 12, 2008.
The eleven papers provided have been conscientiously reviewed and chosen from 17 submissions. They disguise vital points of cognitive imaginative and prescient like face acceptance, task interpretation, cognizance, reminiscence maps and scene interpretation.
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Extra info for Cognitive Vision: 4th International Workshop, ICVW 2008, Santorini, Greece, May 12, 2008, Revised Selected Papers
It is based on a 3D human model and is independent from the point of view of the camera and employs silhouette represented from 2D approaches to provide a real-time processing. 2 Activity Recognition Previous activity detection research focused on analyzing individual human behaviors. Rule-based methods proposed in  have shown their merits in action analysis. Rule-based systems may have diﬃculties in deﬁning precise rules for every behavior because some behaviors may consist of fuzzy concepts.
The event models are deﬁned using an event description language designed in a generic framework . The video event model corresponds to the modeling of all the knowledge used by the system to detect video events occurring in the scene. The description of this knowledge is declarative and intuitive (in natural terms), so that the experts of the application domain 44 N. Zouba et al. can easily deﬁne and modify it. Four types of video events (called components) can be deﬁned: primitive states, composite states, primitive events and composite events.
For detecting and tracking person we use a set of vision algorithms coming from a video interpretation platform described in . A ﬁrst algorithm segments moving pixels in the video into a binary image by subtracting the current image with the reference image. The reference image is updated along the time to take into account changes in the scene (light, object displacement, shadows). The moving pixels are then grouped into connected regions, called blobs. A set of 3D features such as 3D position, width and height are computed for each blob.