Yang et al., 2014 - Google Patents
Autonomous target tracking of UAVs based on low-power neural network hardwareYang et al., 2014
- Document ID
- 11841998199410709299
- Author
- Yang W
- Jin Z
- Thiem C
- Wysocki B
- Shen D
- Chen G
- Publication year
- Publication venue
- Machine Intelligence and Bio-inspired Computation: Theory and Applications VIII
External Links
Snippet
Detecting and identifying targets in unmanned aerial vehicle (UAV) images and videos have been challenging problems due to various types of image distortion. Moreover, the significantly high processing overhead of existing image/video processing techniques and …
- 230000001537 neural 0 title description 56
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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