Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network

Drone systems have been deployed by various law enforcement agencies to monitor hostiles, spy on foreign drug cartels, conduct border control operations, etc. This paper introduces a real-time drone surveillance system to identify violent individuals in public areas. The system first uses the Feature Pyramid Network to detect humans from aerial images. The image region with the human is used by the proposed ScatterNet Hybrid Deep Learning (SHDL) network for human pose estimation. The orientations between the limbs of the estimated pose are next used to identify the violent individuals. The proposed deep network can learn meaningful representations quickly using ScatterNet and structural priors with relatively fewer labeled examples. The system detects the violent individuals in real-time by processing the drone images in the cloud. This research also introduces the aerial violent individual dataset used for training the deep network which hopefully may encourage researchers interested in using deep learning for aerial surveillance. The pose estimation and violent individuals identification performance is compared with the state-of-the-art techniques.Comment: To Appear in the Efficient Deep Learning for Computer Vision (ECV) workshop at IEEE Computer Vision and Pattern Recognition (CVPR) 2018. Youtube demo at this: https://www.youtube.com/watch?v=zYypJPJipY

Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises. This paper introduces a deep learning framework to first detect 14 facial key-points which are then utilized to perform disguised face identification. Since the training of deep learning architectures relies on large annotated datasets, two annotated facial key-points datasets are introduced. The effectiveness of the facial keypoint detection framework is presented for each keypoint. The superiority of the key-point detection framework is also demonstrated by a comparison with other deep networks. The effectiveness of classification performance is also demonstrated by comparison with the state-of-the-art face disguise classification methods.Comment: To Appear in the IEEE International Conference on Computer Vision Workshops (ICCVW) 201

Influência de calços na orientação postural de indivíduos com escoliose idiopática

INTRODUCTION: The relationship between the orientation of the segments and the adjustments that can be triggered by shoe lift and insoles in scoliotic patients during maintenance of standing position is unclear. OBJECTIVE: To verify static changes and those associated with unilateral manipulations of shoe lift in the postural orientation in people with idiopathic scoliosis. MATERIALS AND METHODS: Experimental group composed of ten patients with idiopathic scoliosis with double curve (less 10°) and control group with ten participants without scoliosis (aging from 13 to 24 years). Participants were videotaped in upright stance, standing with no, low (1 cm), and high (3 cm) shoe lift, which were placed under right and left shoe. In each condition, the participant maintain upright stance for 15 seconds and reflective markers were affixed on specific anatomical places. Postural angles were obtained: high thoracic; medium thoracic; thoracolumbar; and lumbar, as well segmental angles: shoulder; scapula; pelvis; and knee. RESULTS: In the no shoe lift condition, differences were observed between groups for high and medium thoracic angles and for shoulder. With low and high shoe lift under the right foot, difference was observed between shoe lift heights for high thoracic, for pelvis and knee angles. With low and high shoe lift under the left foot, differences between groups were observed for thoracolumbar angle and between shoe lift heights for pelvis and knee angles. CONCLUSIONS: The shoe lift promotes reorientation in the lower regions of the spine and segments of pelvis and knee. It might be suggested that in the scoliosis with double curves, manipulation in the basis of support changes the alignment of the trunk that might promote structural reorganization and the search of new adjustments among segments in individuals with idiopathic scoliosis.INTRODUÇÃO: A relação entre a orientação dos segmentos e os ajustes que podem ser desencadeados por calços e palmilhas em pacientes escolióticos durante a manutenção da posição ortostática é pouco conhecida. OBJETIVO: Verificar alterações estáticas e associadas com mudanças unilaterais de calços na orientação postural de indivíduos com escoliose idiopática. MATERIAIS E MÉTODOS: Grupo experimental com dez indivíduos com escoliose idiopática com curva dupla (menor 10°) e grupo controle com dez indivíduos sem escoliose (faixa etária de 13 a 24 anos). Participantes foram filmados na posição ortostática sem calço, com calço baixo (1 cm) e com calço alto (3 cm); estes foram colocados sob o pé direito e pé esquerdo dos indivíduos. Em cada condição, o participante manteve a posição estática durante 15 segundos e marcadores refletivos foram colocados em pontos anatômicos específicos. Foram calculados ângulos posturais: torácico alto; torácico médio; toracolombar e lombar e ângulos segmentares: ombro; escápula; pelve e joelho. RESULTADOS: Na condição sem calço, diferenças foram observadas entre grupos para os ângulos posturais toracolombar e lombar e para o ângulo segmentar do ombro. Com calço baixo e alto, sob o pé direito, diferença foi observada entre calços para os ângulos lombar, da pelve e do joelho. Com calço baixo e alto, sob o pé esquerdo, diferença foi observada entre grupos para o ângulo toracolombar e entre calços para os ângulos da pelve e do joelho. CONCLUSÕES: A utilização de calço promove reorientação nas regiões mais baixas da coluna e nos segmentos da pelve e do joelho. Estes resultados sugerem que nas escolioses duplas, manipulação da base de apoio modifica o alinhamento do tronco que pode provocar reorganização das estruturas e busca de um novo arranjo entre segmentos em indivíduos com escoliose idiopática.Universidade Estadual Paulista Faculdade de Ciências e TecnologiaUniversidade Cruzeiro do Sul Instituto de Ciências da Atividade Física e EsporteUniversidade Estadual Paulista Instituto de Biociências Departamento de Educação FísicaUniversidade Estadual Paulista Faculdade de Ciências e TecnologiaUniversidade Estadual Paulista Instituto de Biociências Departamento de Educação Físic

An analysis of sun salutation

Sun salutation is a part of yoga. It consists of a sequence of postures done with synchronized breathing. The practice of few cycles of sun salutation is known to help in maintaining good health and vigor. The practice of sun salutation does not need any extra gadgets. Also it is very much aerobic and invigorates the body and the mind

Optimization of yard crane scheduling using particle swarm optimization with genetic algorithm operators (PSOGAO)

This study presents optimization of a yard crane schedule (YCS) to perform a given set of container handling jobs with different ready times in order to minimize the sum of job waiting times or the total completion time for handling job. Particle swarm optimization with genetic algorithm operators (PSOGAO) has been successfully applied to optimize YCS. PSOGAO has been observed more efficacious than heuristic method