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学者姓名:黄樟钦
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摘要 :
This work presents the deep learning networks-based method using fine-tuning for classification and search of a diversity of action videos. First, a 3D convolutional neural networks (3D CNN) model which performs pre-training operation and fine-tuning strategy is employed to extract the spatiotemporal features of videos. It is first pre-trained on UCF-101 datasets to train model with initial parameters. Then, a small new dataset is employed to fine-tune the initial model for the training of the new model. Once features are extracted by the final CNNs model, distance measure can be adopted to calculate the similarities between the query video and the test dataset for the video search. The searched video is returned and ranked according to the priority when it has higher similarity with the query video. The comparison results in the experiment shows that the search method using fine-tuning obtains better performance than the method without using fine-tuning. Second, the classification results based on the 3D CNN model using fine-tuning are also presented for the consideration of a query by keyword. Accuracy result obtained using the model with the help of fine-tuning is approximately 2.8% higher than that without using fine-tuning.
关键词 :
Convolutional neural networks Convolutional neural networks feature extraction feature extraction fine-tuning fine-tuning video search video search
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GB/T 7714 | Wang, Wenshi , Huang, Zhangqin , Tian, Rui . Deep Learning Networks-Based Action Videos Classification and Search [J]. | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE , 2021 , 35 (07) . |
MLA | Wang, Wenshi 等. "Deep Learning Networks-Based Action Videos Classification and Search" . | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 35 . 07 (2021) . |
APA | Wang, Wenshi , Huang, Zhangqin , Tian, Rui . Deep Learning Networks-Based Action Videos Classification and Search . | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE , 2021 , 35 (07) . |
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摘要 :
针对视频拼接实现过程中图像配准阶段耗时较大的问题,设计出一种基于二进制鲁棒尺度不变性特征算法与运动统计算法的组合式图像配准算法。在二进制鲁棒尺度不变性特征算法快速特征提取特性的基础上,利用网格化方法对重叠区域图像进行划分,使特征点分布更加均匀,从而减少需要操作的特征点数量以提高速率;在匹配环节,利用运动统计算法剔除误匹配对,利用双向匹配策略提高匹配准确率。为使图像融合的更加自然流畅,设计出一种区域化的渐入渐出加权融合算法:为减少求解重叠区域存在的误差,构建融合区域并进行区域化划分,利用最佳缝合线法求得拼接缝,在不同区域使用渐入渐出加权算法实现图像融合,从而获取融合质量更高的全景图像。最后,设计...
关键词 :
全景视频拼接 全景视频拼接 图像融合 图像融合 图像配准 图像配准
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GB/T 7714 | 黄樟钦 , 母召 , 岑陈 et al. 一种多路视频的360度实时拼接技术 [J]. | 西安电子科技大学学报 , 2020 , 47 (02) : 1-8,31 . |
MLA | 黄樟钦 et al. "一种多路视频的360度实时拼接技术" . | 西安电子科技大学学报 47 . 02 (2020) : 1-8,31 . |
APA | 黄樟钦 , 母召 , 岑陈 , 高寒 . 一种多路视频的360度实时拼接技术 . | 西安电子科技大学学报 , 2020 , 47 (02) , 1-8,31 . |
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摘要 :
1.本外观设计产品的名称:物联网LoRa智能网关。2.本外观设计产品的用途:用于数据采集和物联网通信。3.本外观设计产品的设计要点:在于形状。4.最能表明设计要点的图片或照片:立体图。
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GB/T 7714 | 黄樟钦 , 高寒 , 黄玲 et al. 物联网LoRa智能网关 : CN202030032682.0[P]. | 2020-01-17 . |
MLA | 黄樟钦 et al. "物联网LoRa智能网关" : CN202030032682.0. | 2020-01-17 . |
APA | 黄樟钦 , 高寒 , 黄玲 , 张晓波 . 物联网LoRa智能网关 : CN202030032682.0. | 2020-01-17 . |
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摘要 :
1.本外观设计产品的名称:AI智能视频分析仪。2.本外观设计产品的用途:用于智能视频分析终端。3.本外观设计产品的设计要点:在于形状。4.最能表明设计要点的图片或照片:立体图。
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GB/T 7714 | 李达 , 张佰国 , 黄樟钦 . AI智能视频分析仪 : CN202030032681.6[P]. | 2020-01-17 . |
MLA | 李达 et al. "AI智能视频分析仪" : CN202030032681.6. | 2020-01-17 . |
APA | 李达 , 张佰国 , 黄樟钦 . AI智能视频分析仪 : CN202030032681.6. | 2020-01-17 . |
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摘要 :
To reduce DMA utilization for multiple algorithm IPs on FPGA, a channel configurable and multiplex DMA device (CMDMA) is proposed for asynchronous and heterogeneous algorithm IPs. Firstly, we abstract the entities and data-flow in CMDMA system with a formal description for function definition and work-flow analysis. Then based on the functions and work-flow, we design and implement a prototype of CMDMA, which includes CMDMA software driver (SW) and hardware circuits (HW) of one DMA IP, a configurable input switch (CISwitch), algorithm IPs, and an asynchronous output switch (AOSwitch). The configurable function of CMDMA is implemented by CISwitch through a configuration port in HW-level, and a configurable Round-Robin (CRR) algorithm is proposed to implement channel and input data schedule in SW-level. For output, a channel distinguishable output buffer (ChnDistBuf) is proposed, which is able to deliver channel ID and data size to SW earlier than the end time of an algorithm IP. With a double interrupt coordination method of both ChnDistBuf and algorithm IPs, CMDMA is able to successively store complete output data from different algorithm IPs. With a double interrupt coordination method of both ChnDistBuf and algorithm IPs, CMDMA is able to successively store complete output data from different algorithm IPs. The experiments based on 4 heterogeneous matrix multiplication algorithm IPs on Xilinx Zynq platform show that CMDMA is able to improve about 8% 29% average algorithm acceleration rates on single algorithm IP compared to the exclusive method that one DMA works for one algorithm IP only, and it is able to increase about 10-40 MB/s and 5-15 MB/s of DMA input and output data throughput with multiple algorithm IPs running in parallel. Moreover, the extended LUT and FF resources in CMDMA are 756 and 1219 , both of which are about 1% of Zynq platform. Besides, in a double CNN algorithm IPs test on Mnist application, an enhanced function of data broadcasting in CMDMA is able to improve 4 s than the system with 4 exclusive DMA running in parallel, meanwhile reduce 3 DMA utilization and 0. 03 W power consumption. (c) 2020 Elsevier B.V. All rights reserved.
关键词 :
DMA DMA FPGA FPGA Multiplex Multiplex Switch Switch System architecture System architecture
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GB/T 7714 | Huang, Zhangqin , Zhang, Shuo , Gao, Han et al. A configurable multiplex data transfer model for asynchronous and heterogeneous FPGA accelerators on single DMA device [J]. | MICROPROCESSORS AND MICROSYSTEMS , 2020 , 77 . |
MLA | Huang, Zhangqin et al. "A configurable multiplex data transfer model for asynchronous and heterogeneous FPGA accelerators on single DMA device" . | MICROPROCESSORS AND MICROSYSTEMS 77 (2020) . |
APA | Huang, Zhangqin , Zhang, Shuo , Gao, Han , Zhang, Xiaobo , Yang, Shengqi . A configurable multiplex data transfer model for asynchronous and heterogeneous FPGA accelerators on single DMA device . | MICROPROCESSORS AND MICROSYSTEMS , 2020 , 77 . |
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摘要 :
一种LoRa通讯网络传输速率智能监测装置,包括ZYNQ核心板和LoRa通信模块,USB模块,温度传感器,指示灯,GPS模块,串口模块和电源模块。ZYNQ核心板包括ZYNQ模块、以太网模块、存储模块、JTAG接口、UART接口和以太网接口。LoRa通信模块包括LoRa数据处理单元、LoRa收发芯片。该装置既能用于LoRa通讯网络传输速率的智能扫描及配置,更快获得测点点位处的最佳传输速率,大大缩短了从前期LoRa传输速率测试到后期实际LoRa设备部署的周期;也能用于辅助检测实际环境下的传播损耗,为建立实际环境下的传播损耗模型提供辅助数据来源。该装置具有构造配置简单、通用性好、监测效率高的特点,测试过程无需携带测试仪、电脑等辅助设备。
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GB/T 7714 | 李达 , 张志浩 , 黄樟钦 et al. 一种LoRa通讯网络传输速率智能监测装置 : CN202020135297.3[P]. | 2020-01-21 . |
MLA | 李达 et al. "一种LoRa通讯网络传输速率智能监测装置" : CN202020135297.3. | 2020-01-21 . |
APA | 李达 , 张志浩 , 黄樟钦 , 张佰国 , 张晓波 . 一种LoRa通讯网络传输速率智能监测装置 : CN202020135297.3. | 2020-01-21 . |
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摘要 :
本发明涉及LoRa无线通讯领域,公开了一种LoRa通讯网络传输速率的智能扫描及动态优化配置的方法,包括如下步骤:(1)传输速率表预设;(2)传输速率扫描;(3)传输速率动态配置。所提出的智能扫描及动态优化配置的方法采用各个传输速率及其对应最小传输周期作为传输速率表预设的参数项,并采取连续多包传输机制作为扫描机制。所提出的智能扫描及动态优化配置的方法能够快速、准确、方便、灵活地进行LoRa传输速率测试,缩短LoRa网络测试、配置及部署的周期,加快了LoRa网络应用布局,更好地满足日益增长的物联网通讯需求。
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GB/T 7714 | 李达 , 张志浩 , 黄樟钦 et al. 一种LoRa通讯网络传输速率智能扫描及动态优化配置的方法 : CN202010068931.0[P]. | 2020-01-21 . |
MLA | 李达 et al. "一种LoRa通讯网络传输速率智能扫描及动态优化配置的方法" : CN202010068931.0. | 2020-01-21 . |
APA | 李达 , 张志浩 , 黄樟钦 , 张佰国 , 张晓波 . 一种LoRa通讯网络传输速率智能扫描及动态优化配置的方法 : CN202010068931.0. | 2020-01-21 . |
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摘要 :
一种面向边缘端行人跟踪和人数精确统计的方法,涉及边缘计算场景下基于人工智能部件的行人跟踪和人数统计领域。该方法初始时建立并实时维护行人动态跟踪列表。从边缘端的人工智能部件获取行人结果信息,并在其基础上建立行人静态检测列表。将行人静态检测列表和行人动态跟踪列表进行精确匹配。边缘端的成本及性能限制使得边缘端计算能力有限会导致行人精确匹配失败。此时,该方法将根据行人动态跟踪信息对行人进行智能模糊匹配。根据匹配后的结果实时更新行人动态跟踪列表,并对统计区域内的行人进行人数精确统计,若精确统计失败,所述方法对该行人使用延迟计数策略。
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GB/T 7714 | 黄樟钦 , 盛梦雪 , 张硕 et al. 一种面向边缘端行人跟踪和人数精确统计的方法 : CN202010068506.1[P]. | 2020-01-21 . |
MLA | 黄樟钦 et al. "一种面向边缘端行人跟踪和人数精确统计的方法" : CN202010068506.1. | 2020-01-21 . |
APA | 黄樟钦 , 盛梦雪 , 张硕 , 李洪亮 . 一种面向边缘端行人跟踪和人数精确统计的方法 : CN202010068506.1. | 2020-01-21 . |
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摘要 :
1.本外观设计产品的名称:LoRa无线通道基站(中继器)。2.本外观设计产品的用途:用于LoRa基站及中继器通信。3.本外观设计产品的设计要点:在于形状。4.最能表明设计要点的图片或照片:立体图。
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GB/T 7714 | 黄樟钦 , 高寒 , 张晓波 et al. LoRa无线通道基站(中继器) : CN202030033594.2[P]. | 2020-01-17 . |
MLA | 黄樟钦 et al. "LoRa无线通道基站(中继器)" : CN202030033594.2. | 2020-01-17 . |
APA | 黄樟钦 , 高寒 , 张晓波 , 黄玲 . LoRa无线通道基站(中继器) : CN202030033594.2. | 2020-01-17 . |
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摘要 :
RFID is one of the indispensable technologies employed to implement the Internet of Things, where it facilitates the identification and awareness of objects in our daily lives by integrating backscatter tags. The interference synthetic aperture radar (InSAR)-based localization scheme provides high precision in 3-D conditions, although it still has some practical problems such as its strict sampling operation and it is also highly time consuming. In this article, we developed E3DinSAR as an optimized InSAR-based 3-D localization approach for pinpointing tags rapidly and easily with high accuracy. E3DinSAR does not use any other infrastructure or reference tags, and only one movable reader with one antenna is sufficient to implement the localization method, where it measures the phase value of the tag at different positions throughout its movement in order to create multiple holographic images. In contrast to the previously proposed InSAR-based technique, we extend the sampling trajectory of the reader to an arbitrary curve by restricting it to several approximate linear apertures, which allows more flexible operations and increase the accuracy. We also employ a rapid computing method to calculate the results for the holographic images by estimating the direction of arrival for the tag. Experiments were performed where E3DinSAR was implemented with commercial off-the-shelf (COTS) RFID products and our systematic evaluation showed that E3DinSAR achieved a mean locating accuracy of 18.4 cm in a 3-D space.
关键词 :
3-D 3-D Antenna measurements Antenna measurements Apertures Apertures interference synthetic aperture radar (InSAR) interference synthetic aperture radar (InSAR) localization localization phase based phase based Phase measurement Phase measurement Radiofrequency identification Radiofrequency identification Three-dimensional displays Three-dimensional displays Trajectory Trajectory Two dimensional displays Two dimensional displays ultrahigh-frequency (UHF) RFID ultrahigh-frequency (UHF) RFID
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GB/T 7714 | Liang, Xiaoxuan , Huang, Zhangqin , Yang, Shengqi et al. E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures [J]. | IEEE INTERNET OF THINGS JOURNAL , 2020 , 7 (12) : 11656-11666 . |
MLA | Liang, Xiaoxuan et al. "E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures" . | IEEE INTERNET OF THINGS JOURNAL 7 . 12 (2020) : 11656-11666 . |
APA | Liang, Xiaoxuan , Huang, Zhangqin , Yang, Shengqi , Qiu, Lanxin . E3DinSAR: 3-D Localization of RFID-Tagged Objects Based on Interference Synthetic Apertures . | IEEE INTERNET OF THINGS JOURNAL , 2020 , 7 (12) , 11656-11666 . |
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