Содержание
- 2. Annotations
- 3. Annotations
- 4. Fullbody vs Core
- 5. Fullbody vs Core
- 7. Evaluation metrics Multiple Object Tracking Accuracy where is the frame index and GT is the number
- 8. Fullbody vs Core
- 16. Test with different size of training base
- 17. Future work Look for a more suitable architecture Inception modifications MobileNet with Feature Pyramid Networks
- 18. Inception model v2
- 20. Скачать презентацию
Слайд 2
Annotations
Annotations
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Annotations
Annotations
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Fullbody vs Core
Fullbody vs Core
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Fullbody vs Core
Fullbody vs Core
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Evaluation metrics
Multiple Object Tracking Accuracy
where is the frame index and GT
Evaluation metrics
Multiple Object Tracking Accuracy
where is the frame index and GT
is the number of ground truth objects. Note that MOTA can also be negative in cases where the number of errors made by the tracker exceeds the number of all objects in the scene.
Multiple Object Tracking Precision
where denotes the number of matches in frame and is the bounding box overlap of target with its assigned ground truth object.
Multiple Object Tracking Precision
where denotes the number of matches in frame and is the bounding box overlap of target with its assigned ground truth object.
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Fullbody vs Core
Fullbody vs Core
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Test with different size of training base
Test with different size of training base
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Future work
Look for a more suitable architecture
Inception modifications
MobileNet with Feature Pyramid
Future work
Look for a more suitable architecture
Inception modifications
MobileNet with Feature Pyramid
Networks
Слайд 18
Inception model v2
Inception model v2
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