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Found 16 papers, 1 papers with code
Person Detection Using an Ultra Low-resolution Thermal Imager on a Low-cost MCU
Detecting persons in images or video with neural networks is a well-studied subject in literature.
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
In this paper, we present a new loss function to train a segmentation network with only a small subset of pixel-perfect labels, but take the advantage of weakly-annotated training samples in the form of cheap bounding-box labels.
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules
By first training the SGMs in a meta-learning manner on a set of common objects, during fine-tuning, the SGMs provided the model with accurate gradients to successfully learn to grasp new objects.
How low can you go? Privacy-preserving people detection with an omni-directional camera
In this work, we use a ceiling-mounted omni-directional camera to detect people in a room.
The autonomous hidden camera crew
Our contribution in this paper is twofold: First, we create a system to limit the amount of recorded data by intelligently controlling a video switch matrix, in combination with a multi-channel recorder.
Real-time Embedded Person Detection and Tracking for Shopping Behaviour Analysis
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 stores layout (e. g. frequently visited spots).
Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy
Such a smart room occupancy rate sensor can be used in e. g. meeting rooms and flex-desks.
Automated analysis of eye-tracker-based human-human interaction studies
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, usability studies and linguistics.
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures
The uprising trend of deep learning in computer vision and artificial intelligence can simply not be ignored.
Fooling automated surveillance cameras: adversarial patches to attack person detection
Some of these approaches have also shown that these attacks are feasible in the real-world, i. e. by modifying an object and filming it with a video camera.
Team Applied Robotics: A closer look at our robotic picking system
This paper describes the vision based robotic picking system that was developed by our team, Team Applied Robotics, for the Amazon Picking Challenge 2016.
Fusion of Range and Thermal Images for Person Detection
The resulting fused data are used to efficiently detect people in a fixed camera set-up.
Process Monitoring of Extrusion Based 3D Printing via Laser Scanning
A solution to improve the accuracy and robustness of a manufacturing technology is the integration of sensors to monitor and control process state-variables online.
Embedded Line Scan Image Sensors: The Low Cost Alternative for High Speed Imaging
In this paper we propose a low-cost high-speed imaging line scan system.
Exploring the potential of combining time of flight and thermal infrared cameras for person detection
A first distinction is that the spectral sensitivity of the two sensors differs significantly.
Point Pair Feature based Object Detection for Random Bin Picking
Point pair features are a popular representation for free form 3D object detection and pose estimation.
