| voxelmorph/voxelmorph |
2,638 |
|
0 |
0 |
4 months ago |
2 |
June 03, 2022 |
119 |
apache-2.0 |
Python |
| Unsupervised Learning for Image Registration |
| waldo-vision/optical.flow.demo |
523 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
mpl-2.0 |
Python |
| A project that uses optical flow and machine learning to detect aimhacking in video clips. |
| aoso3/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System |
30 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
C# |
| The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm. |
| cq615/Joint-Motion-Estimation-and-Segmentation |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| [MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences |
| chrimerss/RemoteSensingandComputerVision |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
TeX |
| This contains personal reading list for remote sensing and applications of computer vision |
