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This book constitutes the refereed proceedings of the 38th German Conference on Pattern Recognition, GCPR 2016, held in Hannover, Germany, in September 2016. The 36 revised full papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on image processing, learning, optimization, segmentation, applications, image analysis, motion and tracking.

Computer science. --- Artificial intelligence. --- Computer simulation. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Computer Graphics. --- Simulation and Modeling. --- Design perception --- Pattern recognition --- Pictorial data processing --- Picture processing --- Processing, Image --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Informatics --- Form perception --- Perception --- Figure-ground perception --- Imaging systems --- Optical data processing --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Science --- Digital techniques --- Optical pattern recognition. --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computational intelligence. --- Algorithms. --- Algorism --- Algebra --- Arithmetic --- Intelligence, Computational --- Soft computing --- Foundations

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Human physiology --- Social medicine --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Recreation. Games. Sports. Corp. expression --- beeldverwerking --- grafische vormgeving --- sportgeneeskunde --- fysiologie --- KI (kunstmatige intelligentie)

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This LNCS volume contains the papers presented at the second Workshop on Human Motion Understanding, Modeling, Capture and Animation, which took place on October 20th, 2007, accompanying the 11th IEEE International C- ference on Computer Vision in Rio de Janeiro, Brazil. In total, 38 papers were submitted to this workshop,of which 22 papers were accepted. We were careful to ensure a high standard of quality when selecting the papers. All submissions were double-blind reviewed by at least two experts. Out of the 22 accepted papers, 10 were selected for oral presentation and 12 for posters. We thank the authors of the accepted papers for taking the reviewers' comments into account in the ?nal published versions of their papers. We thank all of the authors who submitted their work, and we trust that the reviewers' comments have been of value for their research activities. The accepted papers re?ect the state of the art in the ?eld and cover various topicsrelatedto humanmotiontrackingandanalysis.Thepapersinthisvolume have been classi?ed into three categories based on the topics they cover: human motion capture and pose estimation, body and limb tracking and segmentation, and activity recognition.

Biomathematics. Biometry. Biostatistics --- Molecular biology --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- biomathematica --- vormgeving --- biostatistiek --- simulaties --- biometrie --- KI (kunstmatige intelligentie) --- robots --- moleculaire biologie

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Operational research. Game theory --- Mathematical statistics --- Molecular biology --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- stochastische analyse --- grafische vormgeving --- informatietechnologie --- robots --- moleculaire biologie