Motion Detection and Segmentation Using Image Mosaics

We propose a motion segmentation algorithm for extracting foreground objects with a pan-tilt camera. Segmentation is achieved by spatio-temporal filtering of the scene to model the background. Temporal filtering is done by a set of modified AR (Auto-Regressive) filters which model the background statistics for a particular view of the scene. Backgrounds from different views of the pan-tilt camera are stitched together into a planar mosaic using a real-time image mosaicing strategy. Our algorithms work in real-time, require no user intervention, and facilitate high-quality video transmission at low bandwidths.</p

Community-based randomized controlled trial of non-pharmacological interventions in prevention and control of hypertension among young adults

Context : Hypertension is a major chronic lifestyle disease. Several non-pharmacological interventions are effective in bringing down the blood pressure (BP). This study focuses on the effectiveness of such interventions among young adults. Aims : To measure the efficacy of physical exercise, reduction in salt intake, and yoga, in lowering BP among young (20-25) pre-hypertensives and hypertensives, and to compare their relative efficacies. Settings and Design: The study was done in the urban service area of JIPMER . Pre-hypertensives and hypertensives, identified from previous studies, constituted the universe. The participants were randomized into one control and three interventional groups. Materials and Methods: A total of 113 subjects: 30, 28, 28 and 27 in four groups respectively participated for eight weeks: control (I), physical exercise (II) - brisk walking for 50-60 minutes, four days/week, salt intake reduction (III) - to at least half of their previous intake, and practice of yoga (IV) - for 30-45 minutes/day on at least five days/week. Statistical Analysis Used: Efficacy was assessed using paired t test and ANOVA with Games Howell post hoc test. An intention to treat analysis was also performed. Results : A total of 102 participants (29, 27, 25 and 21 in groups I, II, III and IV) completed the study. All three intervention groups showed a significant reduction in BP (SBP/DBP: 5.3/6.0 in group II, 2.6/3.7 in III, and 2.0/2.6 mm Hg in IV respectively). There was no significant change (SBP/DBP: 0.2/0.5 mmHg) of BP in control group (I). Physical exercise was most effective (considered individually); salt intake reduction and yoga were also effective. Conclusions : Physical exercise, salt intake reduction, and yoga are effective non-pharmacological interventions in significantly reducing BP among young hypertensives and pre-hypertensives. These can therefore be positively recommended for hypertensives. There is also a case to deploy these interventions in the general population

CyberScout: Distributed Agents for Autonomous Reconnaissance and Surveillance

The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system. In this paper, we focus on advances in vision-based surveillance agents for detection, scene mosaicing, classification and correspondence. An agent-based software framework is used to promote synergy between the various surveillance algorithms and provide a distributed computing infrastructure for the system.   </p

CyberScout: Distributed Agents for Autonomous Reconnaissance and Surveillance

The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system. In this paper, we focus on advances in vision-based surveillance agents for detection, scene mosaicing, classification and correspondence. An agent-based software framework is used to promote synergy between the various surveillance algorithms and provide a distributed computing infrastructure for the system

Moyamoya Syndrome in an Infant with Aicardi-Goutières and Williams Syndromes: A Case Report

Stroke in infancy is a rare phenomenon but can lead to significant long-term disability. We present the story of a 6-month-old Old Order Amish infant with underlying Williams syndrome, a rare neurodevelopmental disorder caused by a microdeletion, encompassing the elastin gene that produces abnormalities in elastic fibers of the lungs and vessels. This infant presented with lethargy, irritability, and a new-onset generalized tonic-clonic seizure. Brain magnetic resonance imaging (MRI) was consistent with ischemic stroke in the supratentorial regions. MR angiogram demonstrated bilateral narrowing of the internal carotid arteries with ivy sign, suggestive of Moyamoya. Moyamoya disease/syndrome is a cerebrovascular condition that is associated with progressive stenosis of the intracranial vessels and can cause ischemic stroke in young children. Targeted mutation analysis revealed a homozygous c.1411-2A \u3e G splice site variant in the SAMHD1 gene, consistent with a diagnosis of Aicardi-Goutières syndrome type 5 (AGS5), an autosomal recessive condition with multisystem involvement. In our unique case of infantile stroke with Moyamoya syndrome and dual diagnosis of Williams syndrome and AGS5, both diagnoses likely contributed to the cerebrovascular pathology. This case report highlights the importance of suspecting and testing for multiple genetic abnormalities in children presenting with Moyamoya-related stroke

Distributed Surveillance and Reconnaissance Using Multiple Autonomous ATVs: CyberScout

The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two facets of this system: 1) vision for surveillance and 2) autonomous navigation and dynamic path planning. In the area of vision-based surveillance, we have developed robust, efficient algorithms to detect, classify, and track moving objects of interest (person, people, or vehicle) with a static camera. Adaptation through feedback from the classifier and tracker allow the detector to use grayscale imagery, but perform as well as prior color-based detectors. We have extended the detector using scene mosaicing to detect and index moving objects when the camera is panning or tilting. The classification algorithm performs well (less than 8% error rate for all classes) with coarse inputs (20 20-pixel binary image chips), has unparalleled rejection capabilities (rejects 72% of spurious detections), and can flag novel moving objects. The tracking algorithm achieves highly accurate (96%) frame-to-frame correspondence for multiple moving objects in cluttered scenes by determining the discriminant relevance of object features. We have also developed a novel mission coordination architecture, CPAD (Checkpoint/Priority/Action Database), which performs path planning via checkpoint and dynamic priority assignment, using statistical estimates of the environment&apos;s motion structure. The motion structure is used to make both preplanning and reactive behaviors more efficient by applying global context. This approach is more computationally efficient than centralized approaches and exploits robot cooperation in dynamic environments better than decoupled approaches