Deep neural networks (DNNs) have now demonstrated state-of-the-art detection
performance on pedestrian datasets. However, because of their high computational …

High-speed railway (HSR) is recognized as a green transportation mode with lower energy
consumption and less pollution emission than other transportation. At present, China has the …

Object detection is one of the fundamental tasks in computer vision, holding immense
significance in the realm of intelligent mobile scenes. This paper proposes a hybrid cross …

Faced with dynamic and increasingly diversified public transport requirements, bus
operators are urged to propose operational innovations to sustain their competitiveness. In …

Abstract Manifold learning and Sparse Representation Classifier are two popular techniques
for face recognition. Because manifold learning can find low-dimensional representations for …

At the peak of passenger flow, some passengers extend travel sections, which will be likely
to lead to overcrowding of high-speed railway (HSR) trains. Therefore, the problem of train …

The use of machine learning approaches for long-term hand tracking poses some major
challenges such as attaining robustness to inconsistencies in lighting, scale and object …

Human action recognition is a challenging research topic and attracted very good attention
in the last few years. This paper presents a features weighting framework for human action …

航天器一般为复杂系统, 其作为典型安全苛刻系统, 在综合测试过程中会产生大量测试数据.
在查询这些测试数据时, 现有的B/S 数据查询技术, 每次查询时采用从数据库服务器中获取数据 …

Recently, as an efficient representation of realistic videos, improved trajectory features (ITF)
combined with Fisher vector (FV) encoding achieved state-of-the-art results on four …