About CRIM

Video and image analysis

Depending on your specific application needs, we can develop the required software tools that will aid you in analyzing your images. Generally speaking, these tools allow for automatically detecting relevant visual elements of an image or video such as faces, people, objects and places. It is also possible to follow their movements through a sequence of images and, in certain cases, to identify them. Whether the required task involves tracking the regression of a lesion under the effect of medication, performing facial recognition, analyzing the trajectory of a speed skater during training, detecting pedestrians and vehicles in a parking lot or delimiting the contours of lakes and rivers in images, we can automate the processes of detection, tracking and recognizing visual elements according to your specific needs.

Related Technologies: Software for detecting lesions associated with diabetic retinopathy through the fusion of optical and angiographic images, software for segmenting lesions from fluorescent imagery, software for manipulating digitized microfilms, software module for tracking the motion of hockey and football players, system for tracking and analyzing the trajectory lines of speed skaters.

Teams

Releases

Publications

Upcoming event

  • CRIM's 2018 Annual General Meeting - June 20th, 2018
    20 June 2018 0:00
    CRIM (405, avenue Ogilvy, bureau 101, Montréal)
    CRIM members are invited to Annual General Meeting which will be held on June 18, 2018.
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  • Tout est prêt pour le cocktail réseautage du CRIM et de ?@Prompt_Innov? ! On vous y attend dès 18h ???? ???? ????… https://t.co/OgeCt5M06I
  • Nous vous attendons au CRIM dès 16h30! https://t.co/lzUop6L36A https://t.co/rhYtRbD9GI

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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