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Most global motion estimation (GME) methods are oriented to video coding while video object segmentation methods either assume no global motion (GM) or directly adopt a coding-oriented method to compensate for GM. This paper proposes a hierarchical differential GME method oriented to video object segmentation. A scheme which combines three-step search and(More)
BACKGROUND Root gravitropsim has been proposed to require the coordinated, redistribution of the plant signaling molecule auxin within the root meristem, but the underlying molecular mechanisms are still unknown. PIN proteins are membrane transporters that mediate the efflux of auxin from cells. The PIN2 is important for the basipetal transport of auxin in(More)
Most global motion estimation (GME) methods are oriented to video coding while video object segmentation either assume no global motion (GM) or directly adopt a coding-oriented method to compensate GM. This paper proposes a hierarchical differential GME oriented to object segmentation. A combination of 3-step search and motion vector prediction is proposed(More)
Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and autonomous driving. As a key technology in computer vision, it also finds many other applications, such as security and surveillance etc. Generally, pedestrian detection is conducted for images in visible spectrum, which are not suitable for night time detection. Infrared(More)
Pedestrian detection plays a paramount role in advanced driver assistant system (ADAS) and autonomous vehicles, especially with the growth of aging population. The purpose of pedestrian detection is to identify and locate people in a dynamic scene or environment. It needs to tackle the challenges such as illumination, color, texture, clothing, and(More)
The laterals of both shoots and roots often maintain a particular angle with respect to the gravity vector, and this angle can change during organ development and in response to environmental stimuli. However, the cellular and molecular mechanisms of the lateral organ gravitropic response are still poorly understood. Here it is demonstrated that the young(More)
Pedestrian detection is a rapidly evolving research area in computer vision with great impact on the quality of people's daily life. In pedestrian detection, a robust feature descriptor that discriminates pedestrians from the background is a paramount step. Generally, pedestrians are detected with features extracted from visible images. However, those(More)
This paper presents a new distributed event-triggered control scheme that overcome a limitation in some previous event-triggered control schemes. Such an improved distributed event-triggered method has no need for continuously monitoring each agent' neighbors. Computer simulations examine the effectiveness on the application of the proposed consensus(More)
Anomaly detection has received considerable interest for hyperspectral data exploitation due to its high spectral resolution. A well-known algorithm for hyperspectral anomaly detection is the RX detector. A number of variations have been studied since then, including global and local versions for different type of anomalies. Aiming at a real-time(More)
An incremental n-dimensional solid spectral angle based band selection method is proposed in this paper, denoted as the INSSA-BS method, for hyperspectral dimension reduction. Inspired by the commonly used spectral angle mapper (SAM) method which measures the difference between two spectra through calculating the cosine value of the angle, we present a(More)