EVS Research Group
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PowerYOLO: mixed precision model for hardware efficient object detection with event data
Accelerated training of object detection DNNs for embedded vision systems
Systemy wizyjne w zastosowaniach przemysłowych
Hardwares̄oftware implementation of a DNN for 3D object detection using FINN - a demo
Hardwares̄oftware implementation of the PointPillars network for 3D object detection in point clouds
A vision based hardwares̄oftware realīme control system for the autonomous landing of an UAV
Foreground object segmentation in RGB–D data implemented on GPU
Optimisation of the PointPillars network for 3D object detection in point clouds
Hardwares̄oftware implementation of car detection system based on LiDAR sensor data - a demo
Hardware – software implementation of a SFM module for navigation an unmanned aerial vehicles – a~demo
Hardware implementation of multis̄cale Lucasānade optical flow computation algorithm – a~demo
Realt̄ime hardwareōftware embedded vision system for ITS smart camera implemented in Zynq SoC
Demo: embedded vision system for pedestrian detection based on HoG+SVM and use of motion information implemented in Zynq heterogeneous device
Embedded vision system for pedestrian detection based on HOG+SVM and use of motion information implemented in Zynq heterogeneous device
Hardwares̄oftware abandoned object detection vision system in heterogeneous Zynq device
Object tracking with the use of a moving camera implemented in heterogeneous Zynq SoC – a~demo
An efficient hardware architecture for block based image processing algorithms
Demo: an embedded vision system supporting the home care for convalescent or elderly people
Demo: autonomous vehicle model with visionb̄ased tracking system
Demo: FPGA implementation of the flux tensor moving object detection method
FPGA implementation of multis̄cale pedestrian detection in thermal images
FPGAb̄ased hardwaren̄=ē=lp̄ environment using video injection concept for camera=bad̄ systems in automotive applications
FPGA based system for realt̄ime structure from motion computation
Realt̄ime implementation of background modelling algorithms in FPGA devices
Segmentation of dishes for customer service automation in a selfs̄ervice canteen
Segmentation of dishes for the purposes of customer service process automation in a selfs̄ervice canteen
Efficient hardware implementation of the HornS̄chunck algorithm for highēsolution real=m̄e dense optical flow sensor
Hardwares̄oftware implemantation of vehicle detection and counting using virtual detection lines
Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a~comparison
Realt̄ime background generation and foreground object segmentation for highēfinition colour video stream in FPGA device
Realt̄ime foreground object detection combining the PBAS background modelling algorithm and feedback from scene analysis module
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