JIA Yunjian, HUANG Yu, LIANG Liang, WAN Yangliang, ZHOU Jihua. Research on Hierarchical Federated Learning Incentive Mechanism Based on Master-Slave Game[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1366-1373. doi: 10.11999/JEIT220175
Citation:
Xu Dong, Xu Wen-li . Tracking Moving Object with Structure Template[J]. Journal of Electronics & Information Technology, 2005, 27(7): 1021-1024.
JIA Yunjian, HUANG Yu, LIANG Liang, WAN Yangliang, ZHOU Jihua. Research on Hierarchical Federated Learning Incentive Mechanism Based on Master-Slave Game[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1366-1373. doi: 10.11999/JEIT220175
Citation:
Xu Dong, Xu Wen-li . Tracking Moving Object with Structure Template[J]. Journal of Electronics & Information Technology, 2005, 27(7): 1021-1024.
A two-step approach for tracking moving object is proposed in this paper. According of this approach, the structure template of object is firstly extracted with morphologic methods, and then the object tracking is performed with the structure template. The structure template is composed with the stable edges and the cross-points, which can describe the essential structure information of objects. The tracking processing can be divided into two steps: in the first step, the structure template is wholly moved very closed to the tracked object, and in the second step, the structure template is modified to converge to the cross-points and the edges in object image. Because of considering the structure information of object, the robusticity of tracking can be improved greatly.
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JIA Yunjian, HUANG Yu, LIANG Liang, WAN Yangliang, ZHOU Jihua. Research on Hierarchical Federated Learning Incentive Mechanism Based on Master-Slave Game[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1366-1373. doi: 10.11999/JEIT220175
JIA Yunjian, HUANG Yu, LIANG Liang, WAN Yangliang, ZHOU Jihua. Research on Hierarchical Federated Learning Incentive Mechanism Based on Master-Slave Game[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1366-1373. doi: 10.11999/JEIT220175
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