Results 11 to 20 of about 319,555 (318)
Multiple object tracking using feature fusion in hierarchical LSTMs
The Journal of Engineering, 2020 Multiple object tracking sets the foundation for many intelligent video applications. The authors present a novel tracking solution using the ability of recurrent neural networks to effectively model complex temporal dynamics between objects irrespective
Ehtesham Hassan
doaj +1 more source
Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework [PDF]
, 2011 Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certain areas. Understanding behavioral dynamics of large people groups can also help to estimate future status of underground passages, public areas, or ...
Reinartz, Peter +3 more
core +1 more source
The analysis of image motion by the rabbit retina [PDF]
The Journal of Physiology, 1968 1. Micro‐electrode recordings were made from rabbit retinal ganglion cells or their axons. Of particular interest were direction‐selective units; the common on—off type represented 20·6% of the total sample (762 units), and the on‐type comprised 5% of the total.2.
openaire +2 more sources
Automated markerless analysis of human gait motion for recognition and classification [PDF]
, 2011 We present a new method for an automated markerless system to describe, analyze, and classify human gait motion. The automated system consists of three stages: i) detection and extraction of the moving human body and its contour from image sequences, ii)
yoo, jang hee +3 more
core +1 more source
DeepActivity: a micro-Doppler spectrogram-based net for human behaviour recognition in bio-radar
The Journal of Engineering, 2019 The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify ...
Hao Du +3 more
doaj +1 more source
A spatial attentive and temporal dilated (SATD) GCN for skeleton‐based action recognition
CAAI Transactions on Intelligence Technology, 2022 Current studies have shown that the spatial‐temporal graph convolutional network (ST‐GCN) is effective for skeleton‐based action recognition. However, for the existing ST‐GCN‐based methods, their temporal kernel size is usually fixed over all layers ...
Jiaxu Zhang +6 more
doaj +1 more source
Local affine image matching and synthesis based on structural patterns [PDF]
, 2010 A general purpose block-to-block affine transformation estimator is described. The estimator is based on Fourier slice analysis and Fourier spectral alignment.
Park, Heechan +2 more
core +1 more source
Healthcare Technology Letters, 2019 Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in ...
Huoling Luo, Qingmao Hu, Fucang Jia
doaj +1 more source
Face anti‐spoofing from the perspective of data sampling
Electronics Letters, 2023 Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
doaj +1 more source
Motion computation and visual orientation in flies [PDF]
, 1993 Egelhaaf M, Borst A. Motion computation and visual orientation in flies. Comparative Biochemistry and Physiology, A: Comparative Physiology. 1993;104(4):659-673.Visual orientation greatly relies on the evaluation of the motion patterns received by the ...
Egelhaaf, M. +3 more
core +2 more sources