Open world entity segmentation
We introduce a new image segmentation task, called Entity Segmentation (ES), which aims
to segment all visual entities (objects and stuffs) in an image without predicting their …
to segment all visual entities (objects and stuffs) in an image without predicting their …
Multi-scale aligned distillation for low-resolution detection
In instance-level detection tasks (eg, object detection), reducing input resolution is an easy
option to improve runtime efficiency. However, this option severely hurts the detection …
option to improve runtime efficiency. However, this option severely hurts the detection …
Kalman filtering and bipartite matching based super-chained tracker model for online multi object tracking in video sequences
Object tracking has gained importance in various applications especially in traffic
monitoring, surveillance and security, people tracking, etc. Previous methods of multiobject …
monitoring, surveillance and security, people tracking, etc. Previous methods of multiobject …
Pointins: Point-based instance segmentation
In this paper, we explore the mask representation in instance segmentation with Point-of-
Interest (PoI) features. Differentiating multiple potential instances within a single PoI feature …
Interest (PoI) features. Differentiating multiple potential instances within a single PoI feature …
Object detection in edge devices for barrier operation and parcel delivery
K Khadloya, V Nathan - US Patent 11,615,623, 2023 - Google Patents
US11615623B2 - Object detection in edge devices for barrier operation and parcel delivery -
Google Patents US11615623B2 - Object detection in edge devices for barrier operation and …
Google Patents US11615623B2 - Object detection in edge devices for barrier operation and …
Human presence detection in edge devices
K Khadloya, M Sokolov, V Nathan, C Gope - US Patent 11,295,139, 2022 - Google Patents
Woessner, PA (57) ABSTRACT A system and method for detecting human presence in or
absence from a field-of-view of a camera by analyzing camera data using a processor inside …
absence from a field-of-view of a camera by analyzing camera data using a processor inside …
Data and sensor system hub
C Barton, NS Rouillac, RN Hubbard… - US Patent App. 29 …, 2022 - Google Patents
3,796,208 A 3,953,843 A 3,969,712 A 4,337,527 A 4,510,487 A 4,639,902 A 4,747,085 A
4,775,854 A 4,779,095 A D312, 219 S* 4,971,283 A 5,043,705 A 5,142,508 A 5,146,208 A …
4,775,854 A 4,779,095 A D312, 219 S* 4,971,283 A 5,043,705 A 5,142,508 A 5,146,208 A …
A review of the detection methodologies of multiple human tracking & action recognition in a real time video surveillance
VS Nanaware, MH Nerkar… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Human tracking & action recognition is an important research area in computer vision or
what is called as real time video processing along with potential applications in many other …
what is called as real time video processing along with potential applications in many other …
An Efficient Approach for Multiple Moving Objects Tracking with Occlusion
B Shahab, F Alizadeh - Proceedings of Sixth International Congress on …, 2022 - Springer
Some of the main issues for the governments and businesses nowadays are security and
monitoring. Several critical locations need high security such as military bases, airports …
monitoring. Several critical locations need high security such as military bases, airports …
Deep learning based Person Re-identification with RGB-D sensors
M Kim, DH Park - Journal of The Korea Society of Computer and …, 2021 - koreascience.kr
In this paper, we propose a deep learning-based person re-identification method using a
three-dimensional RGB-Depth Xtion2 camera considering joint coordinates and dynamic …
three-dimensional RGB-Depth Xtion2 camera considering joint coordinates and dynamic …