Results 51 to 60 of about 123,662 (246)
Impact of digital video analytics on accuracy of chemobehavioural phenotyping in aquatic toxicology [PDF]
PeerJ, 2019 Chemobehavioural phenotypic analysis using small aquatic model organisms is becoming an important toolbox in aquatic ecotoxicology and neuroactive drug discovery.
Jason Henry +2 more
doaj +2 more sources
Human Tracking in Video Surveillance [PDF]
, 2012 Video Surveillance has become area of research and development due to increase in terrorist activities, thefts and other activities that can cause harm to human property and lives. Due to this researchers have been trying to add more and more intelligence in the video monitoring systems, so that it could automatically detect the malicious activities in
Helly Patel, Mahesh P. Wankhade
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Tracking video objects in cluttered background [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2005 We present an algorithm for tracking video objects which is based on a hybrid strategy. This strategy uses both object and region information to solve the correspondence problem. Low-level descriptors are exploited to track object's regions and to cope with track management issues.
Cavallaro, A., Steiger, O., Ebrahimi, T.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Entropy, 2020 Target tracking technology that is based on aerial videos is widely used in many fields; however, this technology has challenges, such as image jitter, target blur, high data dimensionality, and large changes in the target scale.
Jinlu Jia +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Aquatic Toxic Analysis by Monitoring Fish Behavior Using Computer Vision: A Recent Progress
Journal of Toxicology, 2018 Video tracking based biological early warning system achieved a great progress with advanced computer vision and machine learning methods. Ability of video tracking of multiple biological organisms has been largely improved in recent years.
Chunlei Xia +5 more
doaj +1 more source
Tracking and Modeling People in Video Sequences [PDF]
Computer Vision and Image Understanding, 2001 Summary: Tracking and modeling people from video sequences has become an increasingly important research topic, with applications including animation, surveillance, and sports medicine. In this paper, we propose a model-based 3-D approach to recovering both body shape and motion.
Plankers, R., Fua, P.
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Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Detic-Track: Robust Detection and Tracking of Objects in Video
2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2022 The automatic detection and tracking of objects in a video is crucial for many video understanding tasks. We propose a novel deep learning based algorithm for object detection and tracking, which is able to detect more than 1,000 object classes and tracks them robustly, even for challenging content. The robustness of the tracking is due to the usage of
openaire +2 more sources