Jiangxi University of Finance and Economics

About: Jiangxi University of Finance and Economics is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Fuzzy logic & China. The organization has 2865 authors who have published 3556 publications receiving 41567 citations.

Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation

Abstract: Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on. In real visual tracking systems, there are various quality degradation occurring during video acquisition, transmission, and processing. However, most existing studies focus on improving the accuracy of visual tracking while ignoring the performance of tracking algorithms on video sequences with certain quality degradation. In this paper, we investigate the performance evaluation of existing visual tracking algorithms on video sequences with quality degradation. A quality-degraded video database for visual tracking (QDVD-VT), including the reference video sequences and their corresponding distorted versions, is constructed as the benchmarking for robustness analysis of visual tracking algorithms. Based on the constructed QDVD-VT, we propose a method for robustness measurement of visual tracking (RMVT) algorithms by accuracy rate and performance stability. The performance of ten existing visual tracking algorithms is evaluated by the proposed RMVT based on the built QDVD-VT. We provide the detailed analysis and discussion on the robustness analysis of different visual tracking algorithms on video sequences with quality degradation from different distortion types. To visualize the robustness of visual tracking algorithms well, we design a robustness pentagon to show the accuracy rate and performance stability of visual tracking algorithms. Our initial investigation shows that it is still challenging for effective object tracking for existing visual tracking algorithms on video sequences with quality degradation. There is much room for the performance improvement of existing tracking algorithms on video sequences with quality degradation in real applications.

An eye tracking database for stereoscopic video

Abstract: We present a large-scale eye tracking database for stereo-scopic video. A set of participants were involved in this eye tracking experiment. The human fixation maps were cre-ated as the ground truth for stereoscopic video from the gaze data from participants. To the best of our knowledge, this is the first large-scale eye tracking database of visual attention modeling for stereoscopic video. The details of the process-ing operations and properties of the database are described in this paper.

An Improved Negative Binomial Approximation for Negative Hypergeometric Distribution

Abstract: This paper gives an improved negative binomial approximation for negative hypergeometric probability. Some numerical examples are presented to illustrate that in most practical cases the effect of our approximation is almost uniformly better than the negative binomial approximation.

Supply-demand risk assessment and multi-scenario simulation of regional water-energy-food nexus: A case study of the Beijing-Tianjin-Hebei region

Abstract: The risks associated with water-energy-food (WEF) nexus can be determined by analyzing the three resources as a system and subsequently measuring the probability of resource shortages in this system under the influences of external factors such as climate, economy, and society. In this study, a Bayesian network (BN) model was used to construct the supply-demand risk assessment framework, identify the risk factors during different periods in the Beijing-Tianjin-Hebei (BTH) region, and simulate the probability of supply-demand risk under different scenarios. The results showed that (1) the WEF supply-demand risk in the BTH region originated from not only core system factors, but also from external system factors. (2) The factors affecting the WEF supply-demand risk varied significantly over time. In the tortuous development stage (1989–1998), industrial and agricultural water use intensity were highly important. In the rapid development stage (1999–2008), the population growth rate became the main factor. In the coordinated development stage (2009–2018), the water and food supply-demand risks became increasingly important. (3) In scenarios where representative climate-economy-society factors (rainfall, gross domestic product, and population) were in high-high-high, medium-high-high, low-medium-high, and low-high-high, respectively, the probability of WEF supply-demand risk increased significantly. This probability was effectively reduced in medium-low-low, medium-medium-low, and medium-high-low scenarios. Using BN to study the WEF supply-demand risk allows for an intuitive understanding of the interaction mechanisms among variables in the WEF nexus. This approach also enables the design of more realistic scenarios, thus providing a reference for the formulation of early risk warning mechanisms.

Do BRI policy and institutional quality influence economic growth and environmental quality? An empirical analysis from South Asian countries affiliated with the Belt and Road Initiative

Abstract: The effect of quality institutions on growth-environmental nexus is a generally ignored topic, especially in South Asia economies affiliated with the belt and road initiatives (BRIs). To fill this gap, we have examined the effect of BRI policy, economic freedom (EF), and institutional quality (IQ) on growth-environmental nexus in the South Asian region from 1984 to 2019. We have used CO2 emission as a proxy for the environment in this study. To prevent variable bias, we also included energy consumption (EN) and trade openness (TO) as key factors in the model. To solve the problem of cross-sectional dependence, we have used the second-generational unit root test. The results of unit root tests indicate that the variable IQ is stationary at the level and other variables are stationary at the first difference. Furthermore, all of the variables are cointegrated, according to the panel cointegration test. Thus, we have used the panel autoregressive distributed lag (ARDL) method to estimate the long-run (LR) and short-run (SR) impact of response factors on economic growth. Furthermore, this research utilized the Granger causality test among the selected variables to inquire into the causalities. The basic findings are as follows: (i) A significantly positive interaction variable (CO2IQ) among CO2 and IQ suggests that effective and fair political institutions are critical for increasing economic development and decreasing CO2 emissions simultaneously. (ii) Economic growth is invigorated by energy consumption, trade, economic freedom, and institutional quality. (iii) Since 2013, more significant economic growth has been stimulated by BRI policy in BRI-associated countries; thus, both the SR and LR results are significantly positive. Hence, it is essential to improve the quality of institutions to reduce carbon emissions during economic growth.