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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)
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)
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)
Support vector machine (SVM) is widely used in classification of hyperspectral reflectance data. In traditional SVM, features are generated from all or subsets of spectral bands with each feature contributing equally to the classification. In classification of small hyperspectral reflectance data sets, a common challenge is Hughes phenomenon, which is(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)
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)
A multiple spectra oriented similarity metric, referred to as n-dimensional solid spectral angle (NSSA), is addressed in this study. NSSA extends the traditional spectral angle metric (SAM)-calculating two spectra's angle-to the calculation of the high-dimensional solid angle jointly constituted by a set of spectra with any number of bands. Some significant(More)