We analyze and study the tracking of nonrigid complex targets of sports video based on mean shift fusion color histogram algorithm. A simple and controllable 3D template generation method based on monocular video sequences is constructed, which is used as a preprocessing stage of dynamic target 3D reconstruction algorithm to achieve the construction of templates for a variety of complex objects, such as human faces and human hands, broadening the use of the reconstruction method. This stage requires video sequences of (...) rigid moving target objects or sets of target images taken from different angles as input. First, the standard rigid body method of Visuals is used to obtain the external camera parameters of the sequence frames as well as the sparse feature point reconstruction data, and the algorithm has high accuracy and robustness. Then, a dense depth map is computed for each input image frame by the Multi-View Stereo algorithm. The depth reconstruction with a too high resolution not only increases the processing time significantly but also generates more noise, so the resolution of the depth map is controlled by parameters. The multiple hypothesis target tracking algorithms are used to track multiple targets, while the chunking feature is used to solve the problem of mutual occlusion and adhesion between targets. After finishing the matching, the target and background models are updated online separately to ensure the validity of the target and background models. Our results of nonrigid complex target tracking by mean shift fusion color histogram algorithm for sports video improve the accuracy by about 8% compared to other studies. The proposed tracking method based on the mean shift algorithm and color histogram algorithm can not only estimate the position of the target effectively but also depict the shape of the target well, which solves the problem that the nonrigid targets in sports video have complicated shapes and are not easy to track. An example is given to demonstrate the effectiveness and adaptiveness of the applied method. (shrink)

As we all know, the Silk Road, as a famous ancient transportation route, was a trade line cross-Eurasian continent in history. Its name was from the delivery of silk. However, no Chinese ancient documents mentioned the name of “Silk Road”. German F. V. Richthofen (1933-1905) firstly used the term “Silk Road” in his book China, published in 1877. Afterwards, the name of “Silk Road” has been accepted universally and used by the world widely. The Silk Road was an ancient business (...) channel, acrossing the middle of China and countries in Central Asia, gradually forming after Qian Zhang visited Western Regions twice, two thousand and one hundred years ago. The north-west land Silk Road started from Chinese ancient Capital Chang’an (now Xi’an), acrossing Central Asia, and reaching ancient Rome in Europe. It was a bridge for communication of politics, economy, and culture between ancient China and the Western. Before 11 Century, the Sino-Western silk trade mainly depended on the land transportation. During Han Dynasty, it was a competition between the Huns and the Hans for occupy the Silk road. The silk as a kind of material culture was a sort of intermediary for making people to know how to get along together.This article attempts to describe the Sino-Western silk trade conditions before and after the two missions of Qian Zhang to Western Regions (Xiyu), including archaeological evidences, kinds of silk and trade scale, transportation routes, trade participants, and so on. (shrink)