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Janusz Konrad
เข้าร่วมเมื่อ 4 ส.ค. 2014
This channel features various research results produced by students in the Visual Information Processing Laboratory in the Department of Electrical and Computer Engineering at Boston University.
Warehouse - RAPiD + FGFA
Boston University - VIP Lab: This video shows the output of RAPiD + FGFA - a people detection algorithm for overhead fisheye cameras that leverages spatial and temporal information. Note the temporal stability of bounding boxes - an improvement over the original RAPiD algorithm that performs detections in each frame independently of other frames. For details, see vip.bu.edu/rapid-t
มุมมอง: 158
วีดีโอ
WEPDTOF Samples
มุมมอง 5492 ปีที่แล้ว
Boston University - VIP Lab: This video shows samples of annotated videos from ``In-the-Wild Events for People Detection and Tracking from Overhead Fisheye Cameras'' (WPEDTOF) dataset. For details, see vip.bu.edu/wepdtof
Tokyo-Shinjuku BSUV-Net 2.0 - night-time
มุมมอง 1343 ปีที่แล้ว
Boston University - VIP Lab: This video shows the output of BSUV-Net 2.0 background subtraction algorithm applied to a night-time video clip recorded by a traffic camera in Tokyo-Shinjuku, Japan (th-cam.com/video/RQA5RcIZlAM/w-d-xo.html). The original recording is shown on the left, foreground/background prediction is shown in the middle and their combination (darker pixels represent background...
Tokyo-Shinjuku BSUV-Net 2.0 - day-time
มุมมอง 1313 ปีที่แล้ว
Boston University - VIP Lab: This video shows the output of BSUV-Net 2.0 background subtraction algorithm applied to a day-time video clip recorded by a traffic camera in Tokyo-Shinjuku, Japan (th-cam.com/video/RQA5RcIZlAM/w-d-xo.html). The original recording is shown on the left, foreground/background prediction is shown in the middle and their combination (darker pixels represent background r...
Localization using single-pixel RGB sensors - Boston University
มุมมอง 697 ปีที่แล้ว
Boston University - VIP Lab: This video shows the recording of a live demo to localize a person indoors using a network of 12 TAOS TCS-3472 single-pixel RGB sensors. The localization algorithm is data driven - the ground truth for training is obtained using two Kinect v2 cameras. A TensorFlow implementation of Artificial Neural Network (fully-connected) is used to estimate person's position.
Activity recognition using single-pixel RGB sensors - Boston University
มุมมอง 2728 ปีที่แล้ว
Recording of a live demo produced by students within a course project (EC720 - Digital Video Processing)
Coastal Video Monitoring: People Summary - Boston University
มุมมอง 298 ปีที่แล้ว
Summary video of people occurring inn the original video sequence. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Coastal Video Monitoring: Vehicles Summary - Boston University
มุมมอง 268 ปีที่แล้ว
Summary video of vehicles occurring inn the original video sequence. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Coastal Video Monitoring: Boats Summary - Boston University
มุมมอง 258 ปีที่แล้ว
Summary video of boats occurring inn the original video sequence. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Coastal Video Monitoring: Event Classification - Boston University
มุมมอง 728 ปีที่แล้ว
Events earlier detected in a shoreline video are classified here: blue rectangles signify boats, red rectangles signify vehicles and green rectangles signify people. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Coastal Video Monitoring: Event Detection - Boston University
มุมมอง 548 ปีที่แล้ว
Events (white) detected in a shoreline video. The waves are mostly ignored whereas boats, vehicles and people are correctly detected. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Coastal Video Monitoring: Original - Boston University
มุมมอง 678 ปีที่แล้ว
Video of a shoreline used for the development of an algorithm to detect boats, vehicles and people, and summarize the occurrence of each in a separate video summary. More details at vip.bu.edu/projects/vsns/coastal-surveillance
Virtual Keyboard with Kinect - Boston University
มุมมอง 2048 ปีที่แล้ว
Feitong Yi's Master's project on using Kinect camera for virtual keyboard and touchpad implementation. More details at vip.bu.edu/projects/hcis/virtual-keyboard
iPark: Vision-Based Parking Monitoring System - Boston University
มุมมอง 3.2K8 ปีที่แล้ว
WHDH Channel 7 News clip about Boston University senior design project advised by Porfs. Janusz Konrad and Clem Karl from the Electrical and Computer Engineering Department. More details at vip.bu.edu/projects/video/ipark/
Video Condensation: Sidewalk Condensed - Boston University
มุมมอง 808 ปีที่แล้ว
Video Condensation: Sidewalk Condensed - Boston University
Video Condensation: Sidewalk Original - Boston University
มุมมอง 678 ปีที่แล้ว
Video Condensation: Sidewalk Original - Boston University
Video Condensation: Overpass Condensed - Boston University
มุมมอง 468 ปีที่แล้ว
Video Condensation: Overpass Condensed - Boston University
Video Condensation: Overpass Original - Boston University
มุมมอง 548 ปีที่แล้ว
Video Condensation: Overpass Original - Boston University
Video Condensation: Highway Condensed - Boston University
มุมมอง 1148 ปีที่แล้ว
Video Condensation: Highway Condensed - Boston University
Video Condensation: Highway Original - Boston University
มุมมอง 1348 ปีที่แล้ว
Video Condensation: Highway Original - Boston University
Video Condensation: Comparison of Cost Functions - Boston University
มุมมอง 1198 ปีที่แล้ว
Video Condensation: Comparison of Cost Functions - Boston University
Action Recognition: Pummel Horse - Boston University
มุมมอง 1868 ปีที่แล้ว
Action Recognition: Pummel Horse - Boston University
Action Recognition: Tennis 2 - Boston University
มุมมอง 2638 ปีที่แล้ว
Action Recognition: Tennis 2 - Boston University
Action Recognition: Tennis 1 - Boston University
มุมมอง 4248 ปีที่แล้ว
Action Recognition: Tennis 1 - Boston University
hi sir. Can you help me how to do same like your project. I really need your help to do my final project. It’s my pleasure for me if you can help me. I'll waiting to hear from you soon.
Hello, I am Praneeth.Cheekoti. I am doing my final year project on same topic. Your work is fantastic. can I get source code please ?