生命在于运动,体育运动对人们的身体健康来说至关重要,而篮球运动又是一项非常普及的体育运动,从NBA到学校的篮球场,篮球运动无处不在,篮球职业运动员和业余运动员数不胜数.其中,投篮是篮球运动中必不可少的一个项目,因为在很多篮球运动场合并不需要计分,只需要对进球个数计数就可以,所以如何对投篮进行全自动计数显得意义重大.本文提出一种篮球进球自动计数器,采用主从结构,利用STC89C52RC作为主控芯片,超声波传感器为测距传感器,NRF24L01无线通信模块作为无线通信模块,LCD1602作为显示模块设计了两个电路板,其中主板放在方便观察的地方用于显示进球的数量,从板安装在篮筐上用于检测篮球的进球.本文提出的篮球进球自动计数器不用人工操作,能够对篮球进球实现智能化自动计数.

Light field (LF) attracts tremendous attention due to its capability of recording the intensity of scene objects as well as the direction of the light ray, which also dramatically increases the amount of redundant data. In this paper, we explore the structure of the light field images, and propose a pseudo-sequence based light field image compression with sub-aperture reordering and adaptive reconstruction to efficiently improve the coding performances. In the proposed method, we firstly decompose the lenslet image into sub-aperture images, and then design an optimized sub-aperture scan order to rearrange them sequentially as a pseudo-sequence. Third, we take advantage of the state-of-the-art video codec to compress the pseudo-sequence by leveraging both intra- and inter-view correlations. Considering the interpolation and transform induced by the reconstruction procedure from sub-aperture images to lenslet image, we propose an enhanced reconstruction method by applying region-based non-local adaptive filters which extracts the non-local similarities for collaborative filtering to promote the quality of reconstructed lenslet images. Extensive experimental results show that the proposed method achieves up to 15.7% coding gain in terms of BD-rate.

In this paper, we explore the structure of light field (LF) and efficiently improve the performance of the pseudo sequence based lenslet image compression, by optimized sub-view rearrangement, enhanced illumination compensation and adaptive reconstruction filtering. First, the decomposed sub-view images are rearranged into a pseudo sequence according to our optimized scan order based on sub-view correlation. Second, the generated pseudo sequence is compressed with JEM codec in which we enhance the illumination compensation by adaptively selecting reference pixels used in parameter derivation. Finally, to reduce the distortions in lenslet image decomposition and reconstruction, we propose an lenslet reconstruction method by applying adaptive filters to the reconstructed lenslet images to compensate the reconstruction errors. Each filter is derived by minimizing the distortions between the original and reconstructed pixels with same geolocation in the lenslet image. Extensive experimental results show that the proposed method achieves up to 53.7% bit rate reduction over HEVC intra coding and 34.8% over JEM intra coding in terms of BDBR.