0000000000542323

AUTHOR

Hatem Belhassen

showing 2 related works from this author

Comparative Study of Face and Person Detection algorithms: Case Study of tramway in Lyon

2019

Moving object detection is one of the most important and challenging task in video surveillance and computer vision applications. Applying it in an industrial context requires taking into account parameters that are not necessarily considered in a theoretical context. We present here a brief review of numerous face and object detection algorithms and techniques that could be applied in our crowded application context. The chosen solution was embedded into the tramway.

Person detectionComputer scienceFace (geometry)Feature extractionContext (language use)Face detectionFacial recognition systemAlgorithmObject detectionTask (project management)2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Improving Video Object Detection by Seq-Bbox Matching

2019

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Matching (statistics)business.industryComputer science02 engineering and technology010501 environmental sciences01 natural sciencesObject detection[INFO.INFO-ES] Computer Science [cs]/Embedded Systems[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer vision[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsArtificial intelligencebusinessComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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