Home / Journals / JNM / Vol.3, No.1, 2021
  • Open Access

    ARTICLE

    Elderly Fall Detection Based on Improved SSD Algorithm

    Jiancheng Zou1, Na Zhu1,*, Bailin Ge1, Don Hong2
    Journal of New Media, Vol.3, No.1, pp. 1-10, 2021, DOI:10.32604/jnm.2021.017763
    Abstract We propose an improved a single-shot detector (SSD) algorithm to detect falls of the elderly. The VGG16 network part of the SSD network is replaced with the MobilenetV2 network. At the same time, we change the infrastructure of MobilenetV2 network, the three layers that were not downsampled at the end were removed, which can make the model structure simpler and faster to detect. The complete Intersection-over-Union (CIoU) loss function is introduced to get a good regression of the target borders that have different sizes and different proportions. We use Feature Pyramid Network (FPN) for upsampling, it can fuse low-level feature… More >

  • Open Access

    REVIEW

    Review of GAN-Based Person Re-Identification

    Zhiyuan Luo*
    Journal of New Media, Vol.3, No.1, pp. 11-17, 2021, DOI:10.32604/jnm.2021.018027
    Abstract Person re-ID is becoming increasingly popular in the field of modern surveillance. The purpose of person re-ID is to retrieve person of interests in non-overlapping multi-camera surveillance system. Due to the complexity of the surveillance scene, the person images captured by cameras often have problems such as size variation, rotation, occlusion, illumination difference, etc., which brings great challenges to the study of person re-ID. In recent years, studies based on deep learning have achieved great success in person re-ID. The improvement of basic networks and a large number of studies on the influencing factors have greatly improved the accuracy of… More >

  • Open Access

    ARTICLE

    Feature Selection Based on Distance Measurement

    Mingming Yang*, Junchuan Yang
    Journal of New Media, Vol.3, No.1, pp. 19-27, 2021, DOI:10.32604/jnm.2021.018267
    Abstract Every day we receive a large amount of information through different social media and software, and this data and information can be realized with the advent of data mining methods. In the process of data mining, to solve some high-dimensional problems, feature selection is carried out in limited training samples, and effective features are selected. This paper focuses on two Relief feature selection algorithms: Relief and ReliefF algorithm. The differences between them and their respective applicable scopes are analyzed. Based on Relief algorithm, the high weight feature subset is obtained, and the correlation between features is calculated according to the… More >

  • Open Access

    ARTICLE

    Design of Network Cascade Structure for Image Super-Resolution

    Jianwei Zhang, Zhenxing Wang, Yuhui Zheng, Guoqing Zhang*
    Journal of New Media, Vol.3, No.1, pp. 29-39, 2021, DOI:10.32604/jnm.2021.018383
    Abstract Image super resolution is an important field of computer research. The current mainstream image super-resolution technology is to use deep learning to mine the deeper features of the image, and then use it for image restoration. However, most of these models mentioned above only trained the images in a specific scale and do not consider the relationships between different scales of images. In order to utilize the information of images at different scales, we design a cascade network structure and cascaded super-resolution convolutional neural networks. This network contains three cascaded FSRCNNs. Due to each sub FSRCNN can process a specific… More >

Share Link

WeChat scan