Advanced Concepts for Intelligent Vision Systems: 15th by Christophe Deknudt, Franc̨ois-Xavier Coudoux, Patrick Corlay,
By Christophe Deknudt, Franc̨ois-Xavier Coudoux, Patrick Corlay, Marc Gazalet (auth.), Jacques Blanc-Talon, Andrzej Kasinski, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)
This booklet constitutes the completely refereed court cases of the fifteenth overseas convention on complicated suggestions for clever imaginative and prescient platforms, ACIVS 2013, held in Poznań, Poland, in October 2013. The sixty three revised complete papers have been conscientiously chosen from 111 submissions. the themes coated are aquisition, pre-processing and coding, biometry, category and popularity, intensity, 3D and monitoring, effective implementation and frameworks, low point picture research, segmentation and video analysis.
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Extra resources for Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013, Poznań, Poland, October 28-31, 2013. Proceedings
4c for the RGB color model, and in Fig. 4d for the YUV color model. 18 J. Cichowski, A. Czy˙zewski, and B. Kostek a) b) c) d) Fig. 4. Face encryption based on pixel relocation algorithm: a) original frame, b), c) and d) encrypted images utilizing diﬀerent relocation cascades The image after the encryption does not contain any visible sensitive information. The data protection is realized properly provided the sensitive regions of interests are precisely detected. Sensitive regions were detected employing preexisting algorithms for moving objects  and face detection .
Com Abstract. Agronomic images in Precision Agriculture are most times used for crop lines detection and weeds identification; both are a key issue because specific treatments or guidance require high accuracy. Agricultural images are captured in outdoor scenarios, always under uncontrolled illumination. CCDbased cameras, acquiring these images, need a specific control to acquire images of sufficient quality for greenness identification from which the crop lines and weeds are to be extracted. This paper proposes a procedure to achieve images with sufficient quality by controlling the exposure time based on image histogram analysis, completed with histogram matching.
Both factors do not allow for execute parallel computation of algorithms. Inclusion of a new object or employing a more sophisticated encryption key scheme caused a small reduction of the processing frame rate. 3 Simulations Focused on the Number of Objects Finally, the occurrence of a large number of objects was simulated employing existing supercomputing environment . The test sets contained diﬀerent number of manually deﬁned objects in the visual stream consisting of: 1, 2, 4, 8, 12, 16, 24, 32, 48, 64, 96, 128 or 160 non-overlapped objects.