Chengjun Xie

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It is a trend to use information technology to lead the development of modern agriculture. The IntelliSense Internet of Things will be an important support for intensive, high-yield, high-quality, efficient, ecological security agriculture. In this paper, we give solutions and key technologies of facilities agriculture based on the Internet of Things(More)
In this paper, a novel adaptive bandwidth object tracking using sparse approximation is proposed in mean shift framework. In this framework, occlusion, illumination and other challenging issues are addressed seamlessly in real time through bandwidth approximation. To find the tracking target at a new frame, a two step method is used iteratively to find the(More)
When objects undergo large pose change, illumination variation or partial occlusion, most existing visual tracking algorithms tend to drift away from targets and even fail to track them. To address the issue, in this paper we propose a multi-scale patch-based appearance model with sparse representation and provide an efficient scheme involving the(More)
Agriculture image de-noising is the important precondition for feature extraction and recognition. It is very important for computer-aided crop disease and insect pests' recognition to get a high quality image which is preprocessed. Traditional linear filter used for de-noising may lead to blurry edge; consequently, it lost the key factor of the image-edge(More)
There are many visual tracking algorithms that are based on sparse representation appearance model. Most of them are modeled by local patches with fixed patch scale, which make trackers less effective when objects undergone appearance changes such as illumination variation, pose change or partial occlusion. To solve the problem, a novel appearance(More)
Based on the latest international CDIO engineering education concept, the correspondence relationship between the four abilities of the Java language teaching target and the CDIO education project idea is analyzed. The Java teaching method based on CDIO engineering education idea is discussed. This teaching method is mainly from the aspects of theoretical(More)
This paper proposed a new algorithm using invertible matrix transformation XCJRCT to eliminate the spectral redundancy, as well as combining with lifting scheme discrete wavelet transform (DWT) and set partitioning in hierarchical trees (SPIHT) coding. The experiment results show that the capabilities of lossless image compression are far better than(More)