10 citations · 33 across the 10 of their papers we have counts for
11 papers · 1 filter
Eyes on the Grass: Biodiversity-Increasing Robotic Mowing Using Deep Visual Embeddings
Lars Beckers, Arno Waes, Aaron Van Campenhout +1
This paper presents a robotic mowing framework that actively enhances garden biodiversity through visual perception and adaptive decision-making. Unlike passive rewilding approache…
Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis
Robin Schrijvers, Steven Puttemans, Timothy Callemein +1
Shopping behaviour analysis through counting and tracking of people in shop-like environments offers valuable information for store operators and provides key insights in the store…
Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy
Timothy Callemein, Kristof Van Beeck, Toon Goedemé
In this paper, we present a room occupancy sensing solution with unique properties: (i) It is based on an omnidirectional vision camera, capturing rich scene info over a wide angle…
How low can you go? Privacy-preserving people detection with an omni-directional camera
Timothy Callemein, Kristof Van Beeck, Toon Goedemé
In this work, we use a ceiling-mounted omni-directional camera to detect people in a room. This can be used as a sensor to measure the occupancy of meeting rooms and count the amou…
Automated analysis of eye-tracker-based human-human interaction studies
Timothy Callemein, Kristof Van Beeck, Geert Brône +1
Mobile eye-tracking systems have been available for about a decade now and are becoming increasingly popular in different fields of application, including marketing, sociology, usa…
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
Steven Puttemans, Timothy Callemein, Toon Goedemé
The uprising trend of deep learning in computer vision and artificial intelligence can simply not be ignored. On the most diverse tasks, from recognition and detection to segmentat…