Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: Hardware implementations of the LK algorithm on FPGA platform. Our solution works for the highest video resolution compared to these available in the literature. It also uses the multi-scale approach, which was realised only for VGA and HD resolutions.

Article Snippet: To implement and test particular components of the LK and HS algorithms, we used the Xilinx Zynq UltraScale+ MPSoC device, available on a ZCU 104 platform.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: Hardware implementations of the HS algorithm on FPGA platform. Our solution can process a video in 4K resolution, but in multiple scales, which is rarely found in the literature and was done at most for Full HD resolution.

Article Snippet: To implement and test particular components of the LK and HS algorithms, we used the Xilinx Zynq UltraScale+ MPSoC device, available on a ZCU 104 platform.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: The photo of the proposed optical flow system. The input video signal is transmitted from the computer (the source) and processed in real-time on a ZCU 104 platform equipped with the Xilinx Zynq UltraScale+ MPSoC device. The calculated optical flow is transmitted and visualised on a 4K resolution monitor. The video being processed shows traffic at the intersection seen from above (top left corner of the image). Different colours relate to various directions of the moving objects.

Article Snippet: To implement and test particular components of the LK and HS algorithms, we used the Xilinx Zynq UltraScale+ MPSoC device, available on a ZCU 104 platform.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: Hardware implementations of the LK algorithm on FPGA platform. Our solution works for the highest video resolution compared to these available in the literature. It also uses the multi-scale approach, which was realised only for VGA and HD resolutions.

Article Snippet: As presented in , the proposed algorithms were run on a ZCU 104 card with the Xilinx Zynq UltraScale+ XCZU7EV-2FFVC1156 MPSoC chip.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: Hardware implementations of the HS algorithm on FPGA platform. Our solution can process a video in 4K resolution, but in multiple scales, which is rarely found in the literature and was done at most for Full HD resolution.

Article Snippet: As presented in , the proposed algorithms were run on a ZCU 104 card with the Xilinx Zynq UltraScale+ XCZU7EV-2FFVC1156 MPSoC chip.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream

doi: 10.3390/s22135017

Figure Lengend Snippet: The photo of the proposed optical flow system. The input video signal is transmitted from the computer (the source) and processed in real-time on a ZCU 104 platform equipped with the Xilinx Zynq UltraScale+ MPSoC device. The calculated optical flow is transmitted and visualised on a 4K resolution monitor. The video being processed shows traffic at the intersection seen from above (top left corner of the image). Different colours relate to various directions of the moving objects.

Article Snippet: As presented in , the proposed algorithms were run on a ZCU 104 card with the Xilinx Zynq UltraScale+ XCZU7EV-2FFVC1156 MPSoC chip.

Techniques: