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Khairwa et al., 2024 - Google Patents

Moving object detection for surveillance video frames using two stage multi-scale residual convolution neural networks

Khairwa et al., 2024

Document ID
2450920886297139580
Author
Khairwa A
Thangavelu A
Publication year
Publication venue
International Journal of Grid and Utility Computing

External Links

Snippet

The human visual system's strongest suit is its ability to detect and follow moving objects. The rise of video-based applications like surveillance, traffic monitoring, military security, robot navigation, etc. may be attributed to the widespread availability of high-quality …
Continue reading at www.inderscienceonline.com (other versions)

Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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