Image Sequence Processing and Dynamic Scene Analysis
معرفی کتاب «Image Sequence Processing and Dynamic Scene Analysis» نوشتهٔ Hans-Hellmut Nagel (auth.), Professor Dr. Thomas S. Huang (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg در سال 1983. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «Image Sequence Processing and Dynamic Scene Analysis» در دستهٔ بدون دستهبندی قرار دارد.
This volume contains the proceedings of the NATO Advanced Study Institute on "Image Sequence Processing and Dynamic Scene Analysis" held 21 June - 2 July, 1982 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The organizing eommittee of the institute consists of T.S. Huang (Director), H.G. Musmann (Co Director), H.H. Nagel (Consultant), and C.E. Liedtke and W. Geuen (Local 'arrangement). This Institute was devoted to the rapidly emerging field of image sequence processing and dynamic scene analysis which has man! important applications in cluding target tracking, television bandwidth compression, highway traffic moni toring, and analysis of heart wall motion for medical diagnosis. The lectures and discussions in this Institute fell into three overlapping categories: Motion estimation; pattern recognition and artificial intelligence techniques in dynamic scene analysis; and, applications. 1) Motion estimation - One of the most important problems in image sequence analysis and dynamic scene analysis is displacement and motion estimation. For example, in interframe coding using temporal DPCM, displacement estimation and compensation can improve efficiency significantly. Also, estimated motion parameters can be powerful cues in target segmentation, detection, and classification. In this Institute, a number of recently developed techniques for displacement and motion estimation were discussed. Front Matter....Pages I-IX Front Matter....Pages 1-1 Overview on Image Sequence Analysis....Pages 2-39 Dynamic Scene Analysis....Pages 40-73 Front Matter....Pages 74-74 Recursive Motion Compensation: A Review....Pages 75-103 The Differential Method for Image Motion Estimation....Pages 104-124 Edges in Visual Scenes and Sequences: Application to Filtering, Sampling and Adaptive DPCM Coding....Pages 125-155 Movement-Compensated Interframe Prediction for NTSC Colour TV Signals....Pages 156-199 Coding of Colour TV Signals with 34 Mbit/s Transmission Rate....Pages 200-214 Analysis of Different Displacement Estimation Algorithms for Digital Television Signals....Pages 215-234 An Adaptive Gradient Approach to Displacement Estimation....Pages 235-248 Motion Parameter Estimation in TV-Pictures....Pages 249-263 Image Sequence Coding Using Scene Analysis and Spatio-Temporal Interpolation....Pages 264-274 Two Motion Adaptive Interframe Coding Techniques for Air to Ground Video Signals....Pages 275-291 Motion Estimation in a Sequence of Television Pictures....Pages 292-306 Comparative Study between Intra and Interframe Prediction Schemes....Pages 307-313 A Narrow-Band Video Communication System for the Transmission of Sign Language Over Ordinary Telephone Lines....Pages 314-336 Classification and Block Coding of the Frame Difference Signal....Pages 337-349 Histograms of Image Sequence Spectra....Pages 350-363 Front Matter....Pages 364-364 Determining 3-D Motion and Structure of a Rigid Body Using Straight Line Correspondences....Pages 365-394 Comparison of Feature Operators for Use in Matching Image Pairs....Pages 395-423 Displacement Estimation for Objects on Moving Background....Pages 424-436 Front Matter....Pages 364-364 Linear Filtering in Image Sequences....Pages 437-447 Photometric Stereo for Moving Objects....Pages 448-456 On the Selection of Critical Points and Local Curvature Extrema of Region Boundaries for Interframe Matching....Pages 457-470 Image Segmentation Considering Properties of the Human Visual System....Pages 471-482 A Fast Edge Detection Algorithm Matching Visual Contour Perception....Pages 483-492 Image Sequence Analysis for Target Tracking....Pages 493-501 Track Acquisition of Sub-Pixel Targets....Pages 502-518 A Pre-Processor for the Real-Time Interpretation of Dynamic Scenes....Pages 519-531 Control of an Unstable Plant by Computer Vision....Pages 532-548 Real-Time Processing of Rasterscan Images....Pages 549-562 3D Kalman Filtering of Image Sequences....Pages 563-579 Atmospheric Disturbances Tracking in Satellite Images....Pages 580-593 Aspects of Dynamic Scene Analysis in Meteorology....Pages 594-600 Front Matter....Pages 601-601 Processing and Analysis of Radiographic Image Sequences....Pages 602-623 Image Sequence Processing and Pattern Recognition of Bio-Medical Pictures....Pages 624-662 A Rule-Based System for Characterizing Blood Cell Motion....Pages 663-709 Three Dimensional Imaging from Computed Tomograms....Pages 710-724 Model Based Analysis of Scintigraphic Image Sequences of the Human Heart....Pages 725-740 Back Matter....Pages 741-749 This volume contains the proceedings of the NATO Advanced Study Institute on "Image Sequence Processing and Dynamic Scene Analysis" held 21 June - 2 July, 1982 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The organizing eommittee of the institute consists of T.S. Huang (Director), H.G. Musmann (CoƯ Director), H.H. Nagel (Consultant), and C.E. Liedtke and W. Geuen (Local 'arrangement). This Institute was devoted to the rapidly emerging field of image sequence processing and dynamic scene analysis which has man! important applications inƯ cluding target tracking, television bandwidth compression, highway traffic moniƯ toring, and analysis of heart wall motion for medical diagnosis. The lectures and discussions in this Institute fell into three overlapping categories: Motion estimation; pattern recognition and artificial intelligence techniques in dynamic scene analysis; and, applications. 1) Motion estimation - One of the most important problems in image sequence analysis and dynamic scene analysis is displacement and motion estimation. For example, in interframe coding using temporal DPCM, displacement estimation and compensation can improve efficiency significantly. Also, estimated motion parameters can be powerful cues in target segmentation, detection, and classification. In this Institute, a number of recently developed techniques for displacement and motion estimation were discussed
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