In this overview article, we review the literature on design and analysis of recursive
algorithms for reconstructing a time sequence of sparse signals from compressive …

In image classification, obtaining adequate data to learn a robust classifier has often proven
to be difficult in several scenarios. Classification of histological tissue images for health care …

摘要动态压缩感(Dynamic compressed sensing, DCS) 知由视频信号处理问题引出,
是压缩感知(Compressed sensing, CS) 理论研究领域中新兴起的一个研究分支 …

Dynamic compressed sensing (DCS) has recently gained popularity as a successful
approach to recovering dynamic sparse signals. In this paper, we attack the problem from a …

The problem of detecting rare and unusual events in video is critical to the analysis of large
video datasets. Such events are identified as those occurrences within a sequence that …

Short-time event detection from videos obtained using handheld or car-mounted cameras is
an overarching challenge in surveillance. The problem demands simultaneous …

Track before detect (TBD) is an effective target tracking strategy in Nyquist sensing and
processing (NSP) field. However, it cannot be directly applied in compressive sensing and …

In this paper, we consider the problem of joint target detection and tracking in compressive
sampling and processing (CSP-JDT). CSP can process the compressive samples of sparse …

In this article, we review the literature on recursive algorithms for reconstructing a time
sequence of sparse signals from a greatly reduced number of linear projection …