B2w2: N-way concurrent communication for iot devices
The exponentially increasing number of internet of things (IoT) devices and the data
generated by these devices introduces the spectrum crisis at the already crowded ISM 2.4 …
generated by these devices introduces the spectrum crisis at the already crowded ISM 2.4 …
Rfcam: Uncertainty-aware fusion of camera and wi-fi for real-time human identification with mobile devices
As cameras and Wi-Fi access points are widely deployed in public places, new mobile
applications and services can be developed by connecting live video analytics to the mobile …
applications and services can be developed by connecting live video analytics to the mobile …
BatTracker: High precision infrastructure-free mobile device tracking in indoor environments
Continuous tracking of the device location in 3D space is a popular form of user input,
especially for virtual/augmented reality (VR/AR), video games and health rehabilitation …
especially for virtual/augmented reality (VR/AR), video games and health rehabilitation …
Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds
Tracking in dense indoor environments where several thousands of people move around is
an extremely challenging problem. In this paper, we present a system—DenseTrack for …
an extremely challenging problem. In this paper, we present a system—DenseTrack for …
Eyefi: Fast human identification through vision and wifi-based trajectory matching
Human sensing, motion trajectory estimation, and identification are central to a wide range
of applications in many domains such as retail stores, surveillance, public safety, public …
of applications in many domains such as retail stores, surveillance, public safety, public …
Concurrent cross-technology communication among heterogeneous IoT devices
The exponentially increasing number of Internet of Things (IoT) devices and the data
generated by these devices introduces the spectrum crisis at the already crowded ISM 2.4 …
generated by these devices introduces the spectrum crisis at the already crowded ISM 2.4 …
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
Trajectory prediction is fundamental in computer vision and autonomous driving particularly
for understanding pedestrian behavior and enabling proactive decision-making. Existing …
for understanding pedestrian behavior and enabling proactive decision-making. Existing …
Layout sequence prediction from noisy mobile modality
Trajectory prediction plays a vital role in understanding pedestrian movement for
applications such as autonomous driving and robotics. Current trajectory prediction models …
applications such as autonomous driving and robotics. Current trajectory prediction models …
Multi-modal context propagation for person re-identification with wireless positioning
Existing person re-identification methods mainly rely on the visual appearance captured by
cameras for identity matching. However, dueto the sensitivity of visual data to occlusion, blur …
cameras for identity matching. However, dueto the sensitivity of visual data to occlusion, blur …
Jointly-optimized searching and tracking with random finite sets
S Papaioannou, P Kolios… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the problem of joint searching and tracking of multiple mobile
targets by a group of mobile agents. The targets appear and disappear at random times …
targets by a group of mobile agents. The targets appear and disappear at random times …