Object tracking is an important task within the field of computer vision, which is driven by the need to detect interesting moving objects in order to analyze and recognize their behaviours and activities. However, tracking multiple object is a complex task due to a large number of issues number ranging from the different types of sensing set-up to the complexity of the object appearance and be...

In this paper, we describe a novel object tracking technique in color video sequences, with application to multi-object tracking in crowded scenes. The proposed paradigm integrates object detection into the object tracking process and provide a robust tracking framework under ambiguity conditions. In order to reduce the computational complexity and to increase the robustness, we use a tri-secti...

Reducing the traction energy consumption plays an important role in railway energy saving. The traditional train optimization operation theories, taking the coasting as the means of energy saving, can’t fit complicated lines and is suitable for the single train only. Meanwhile, the highly complicated line will cause the risk of train collision. On the background of the “11th Five-Year” State Sc...

Distributed power control by beamforming approach in cognitive radio networks requires a precise analysis of the impacts of the transmission parameters, tolerable interference and guarantees the quality of service of both the primary users and secondary users. In this paper, we propose an improved performance to solve the constrained nonlinear multi-object optimization and coherent power assign...

In this paper, we describe a systematic multi-objective problem solving approach, simulataneosly minimizing two conflicting goals average surface roughness ‘Ra’ and build time ‘T ’, for object manufacturing in FDM process by usage of evolutionary algorithms. Popularly used multi-objective genetic algorithm NSGA-II and recently proposed multi-objective particle swarm optimization (MOPSO) algorit...

The critical challenge of video object counting is to avoid the same multiple times in different frames. By comparing appearance and motion feature information detection results, authors use multi-object tracking method assign an independent ID number each object. From time tag obtained until end video, counted only once. However, even minor amounts image noise can cause irreversible changes in...

a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...