• Laser & Optoelectronics Progress
  • Vol. 59, Issue 2, 0215005 (2022)
Haoyang Tang1, Cong Wu1, Yang Liu1、*, Yuxiang Zhai1, and Dongfang Yang2
Author Affiliations
  • 1Automation College, Xi'an University of Posts & Telecommunications, Xi'an , Shaanxi 710121, China
  • 2Missile Engineering College, Rocket Force University of Engineering, Xi'an , Shaanxi 710025, China
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    DOI: 10.3788/LOP202259.0215005 Cite this Article Set citation alerts
    Haoyang Tang, Cong Wu, Yang Liu, Yuxiang Zhai, Dongfang Yang. Fast Target Search Method Based on Feature Hierarchical Cascade Network[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0215005 Copy Citation Text show less
    Flow chart of fast target search method based on feature hierarchical cascade network
    Fig. 1. Flow chart of fast target search method based on feature hierarchical cascade network
    Legends of query and gallery. (a) Query; (b)-(e) gallerys
    Fig. 2. Legends of query and gallery. (a) Query; (b)-(e) gallerys
    Legends of bottom-level features extraction for local location. (a) Query; (b)-(e) gallerys
    Fig. 3. Legends of bottom-level features extraction for local location. (a) Query; (b)-(e) gallerys
    Structure diagram of target re-identification network with hierarchical cascade features
    Fig. 4. Structure diagram of target re-identification network with hierarchical cascade features
    Examples of target re-identification datasets
    Fig. 5. Examples of target re-identification datasets
    Visualization results of proposed algorithm
    Fig. 6. Visualization results of proposed algorithm
    AlgorithmSpeed /(frame⋅s-1FLOPs
    Baseline7183.6
    Proposed algorithm1333.5
    Table 1. Comparison of network speed and FLOPs
    AlgorithmMarket1501DukeMTMC-reid
    Baseline86.176.4
    Proposed algorithm88.578.2
    Table 2. Comparison of mAP of different algorithms
    Haoyang Tang, Cong Wu, Yang Liu, Yuxiang Zhai, Dongfang Yang. Fast Target Search Method Based on Feature Hierarchical Cascade Network[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0215005
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