Computer vision research has taken great strides over the past decade. To - ploy researchresults in large-scale,real-worldapplications, progress on scienti?c frontiersmustbecomplementedbycorrespondingresearchanddevelopmentc- cerning issues such as systems integration, scalable architectures and repres- tations, automated con?guration, adaptation and recovery, closing percepti- action-loops, real-time and embedded implementations, benchmarking, etc. The InternationalConferenceonComputerVisionSystems(ICVS)isaregularforum with this perspective on systems. It brings together researchers and developers from academia and industry, fostering research and technology transfer relevant to real-world, deployed computer vision systems. This volume contains the papers presented at ICVS 2009 in Li' ege, Belgium, continuing the established series of conferences held so far in Europe and North America. A total of 96 submissions were received. Each of them was reviewed by at least 3 program committee members in a double-blind procedure. Overall, 45 contributed papers were accepted, 21 for oral presentation and 24 as posters. The contributions cover a broad spectrum of aspects related to computer - sion systems such as learning, recognition, HCI, robotic applications, real-time constraints, cognitive systems, and architectures, to name just a few. In addition, ICVS 2009 featured two invited speakers who presented c- plementary issues of high importance to computer vision systems. James M. DiCarlo from the Massachusetts Institute of Technology is a leading researcher incomputationalmodels ofbrainmechanismsthatunderlie biologicalvision,the ultimate example of deployedvisionsystems and animportant source of inspi- tionfor arti?cialsystems.JayYagnikistheHeadofComputer VisionandAudio Understanding Research at Google Inc., overseeing research and development in computer vision aimed at extremely large-scale application.
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