Results 31 to 40 of about 322,190 (190)
Scene invariant crowd counting and crowd occupancy analysis [PDF]
, 2012 In public places, crowd size may be an indicator of congestion, delay, instability, or of abnormal events, such as a fight, riot or emergency. Crowd related information can also provide important business intelligence such as the distribution of people ...
Fookes, Clinton B. +7 more
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Texture features-based lightweight passive multi-state crowd counting algorithm
EURASIP Journal on Wireless Communications and Networking, 2023 Passive crowd counting using channel state information (CSI) is a promising technology for applications in fields such as smart cities and commerce. However, the most existing algorithms can only recognize the total number of people in the monitoring ...
Yong Tian +5 more
doaj +1 more source
Scene invariant multi camera crowd counting [PDF]
, 2014 Automated crowd counting has become an active field of computer vision research in recent years. Existing approaches are scene-specific, as they are designed to operate in the single camera viewpoint that was used to train the system.
Fookes, Clinton B. +3 more
core +1 more source
Relevant region prediction for crowd counting [PDF]
Neurocomputing, 2020 accepted by ...
Xinya Chen +4 more
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DTCC: Multi-level dilated convolution with transformer for weakly-supervised crowd counting
Computational Visual Media, 2023 Crowd counting provides an important foundation for public security and urban management. Due to the existence of small targets and large density variations in crowd images, crowd counting is a challenging task.
Zhuangzhuang Miao +4 more
doaj +1 more source
Scene invariant crowd counting for real-time surveillance [PDF]
, 2008 Automated crowd counting allows excessive crowding to be detected immediately, without the need for constant human surveillance. Current crowd counting systems are location specific, and for these systems to function properly they must be trained on a ...
Fookes, Clinton B. +7 more
core +1 more source
Mask-Aware Networks for Crowd Counting [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 Crowd counting problem aims to count the number of objects within an image or a frame in the videos and is usually solved by estimating the density map generated from the object location annotations. The values in the density map, by nature, take two possible states: zero indicating no object around, a non-zero value indicating the existence of objects
Shengqin Jiang +3 more
openaire +3 more sources
Distribution Matching for Crowd Counting
CoRR, 2020 In crowd counting, each training image contains multiple people, where each person is annotated by a dot. Existing crowd counting methods need to use a Gaussian to smooth each annotated dot or to estimate the likelihood of every pixel given the annotated point.
Boyu Wang 0001 +3 more
openaire +4 more sources
Crowd Science and Crowd Counting [PDF]
Impact, 2019 ESTIMATING CROWD SIZE, both a priori and in real-time, is an essential element for planning, and maintaining, crowd safety in places of public assembly.
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Counting Crowds in Bad Weather
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Crowd counting has recently attracted significant attention in the field of computer vision due to its wide applications to image understanding. Numerous methods have been proposed and achieved state-of-the-art performance for real-world tasks. However, existing approaches do not perform well under adverse weather such as haze, rain, and snow since the
Zhi-Kai Huang +4 more
openaire +3 more sources