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Spanish language --- Castilian language --- Romance languages --- Dialects --- Phonetics --- Social aspects --- Dialectology --- Sociolinguistics --- Burgos

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Salazar de, Eugenio

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"By examining historical records and drawing on the work of anthropologists, archaeologists, ecologists, and psychologists, We Are Not Animals sets out to answer questions regarding who the Indigenous people in the Santa Cruz region were and how they survived through the nineteenth century. In We Are Not Animals Martin Rizzo-Martinez traces tribal, familial and kinship networks through the missions' chancery registry records to reveal stories of individuals and families and shows how ethnic and tribal differences and politics shaped strategies of survival within the diverse population that came to live at Mission Santa Cruz. Between 1770 and 1900, the linguistically and culturally diverse Ohlone and Yokuts tribes adapted to and expressed themselves politically and culturally through three distinct colonial encounters with Spain, Mexico, and the United States. They persevered through a variety of strategies developed through social, political, economic, and kinship networks that tied together Indigenous tribes, families, and individuals throughout the greater Bay Area, and they employed survival tactics such as organized attacks on the mission, the assassination of an abusive padre, flights of fugitives, poisonings, and arson. In some cases, they also collaborated with certain padres, tracked down fugitives, and strategically employed service, labor, and musical performance. We Are Not Animals illuminates the stories of Indigenous individuals and families to reveal how Indigenous politics informed each of their choices within a context of immense loss and violent disruption."-- "We Are Not Animals traces the history of Indigenous people in the Santa Cruz area through the nineteenth century, examining the influence of Native political, social, and cultural values and these people's varied survival strategies in response to colonial encounters"--

Genealogy. --- Indians, Treatment of.

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Our knowledge of the surrounding world is obtained by our senses, of which vision is the most important for the information it can provide. In artificial systems, the field of Computer Vision aims to identify physical objects and scenes from captured images, to make useful decisions. This involves the processing and analysis of images, video data, and multi-dimensional data like medical scans. In this context, motion provides a stimulus for detecting objects in movement within the observed scene. Moreover, motion allows other characteristics to be obtained, such as object shape, speed or trajectory, which are meaningful for detection and recognition. However, the motion observable in a visual input can be due to different factors: movement of the imaged objects, movement of the observer, motion of the light sources, or a combination of these. This work focuses on motion detection from images captured by perspective and fisheye still cameras, proposing a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images is studied, allowing a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement against a dynamic background. This permits the development of a surveillance mechanism that removes the constraint of observing a scene free of foreground elements to obtain a reliable background model, since this situation cannot be guaranteed when operating in an unknown environment. Other problems are also addressed for the successful handling of changes in illumination, the distinction between foreground and background elements, and non-uniform vacillating backgrounds.

Metal-work -- Congresses. --- Engineering & Applied Sciences --- Applied Physics --- Detectors. --- Motion. --- Kinetics --- Sensors --- Computer science. --- Image processing. --- Computer Science. --- Image Processing and Computer Vision. --- Dynamics --- Physics --- Kinematics --- Engineering instruments --- Physical instruments --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment