| y-x-c/TLD |
27 |
|
0 |
0 |
over 10 years ago |
0 |
|
2 |
|
C++ |
| C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Yuxin Chen |
| cbui005/AndroidCMT_Tracking |
20 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
|
C++ |
| Android mobile application designed to track user specified objects using OpenCV with TLD and CMT tracking algorithms |
| iliTheFallen/htld |
17 |
|
0 |
0 |
over 10 years ago |
0 |
|
2 |
|
HTML |
| Hybrid Tracking-Learning-Detection Library and the Application |
| Slifers/MS-TLD |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
C++ |
| In order to solve tracking failures caused by objects deformation, occlusion and fast motion, a novel algorithm called MS-TLD which under the Tracking-Learning-Detection framework is proposed. The algorithm reconstructs a new tracker with the scale-adaptive mean-shift method. By introducing color histogram features and scale-adaptive, the new tracker can track objects with deformation and fast moving. We establish a new tracking-detection feedback strategy—the inter-correction between tracker and detector. Therefore, the new algorithm has better robustness when objects are occluded. We use TB-50 standard dataset to verify and evaluate our method. The experimental results show that the proposed algorithm can overcome the tracking failures caused by objects with deformation, occlusion, fast motion, as well as background clutters, and has better tracking accuracy and robustness compared with TLD and other 3 classic algorithms. |
| zlingh/TLD-GPU-zlingh |
7 |
|
0 |
0 |
about 12 years ago |
0 |
|
0 |
|
C++ |
| the C++ parallel implementation of TLD algorithm using vs2010 and CUDA |
| liuguiyangnwpu/LearnerDetector |
6 |
|
0 |
0 |
almost 9 years ago |
0 |
|
5 |
|
C++ |
| C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Guiyang Liu |
| zumrudu-anka/python-opencv-object-tracking-algorithms |
5 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| 🕵️♂️ Object Tracking Algorithms with OpenCV |
