[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
Computer vision based crowd disaster avoidance system: A survey
B Yogameena, C Nagananthini - International journal of disaster risk …, 2017 - Elsevier
Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …
and promising topics due to the increase of people gatherings in public places where the …
Wide-area crowd counting via ground-plane density maps and multi-view fusion cnns
Crowd counting in single-view images has achieved outstanding performance on existing
counting datasets. However, single-view counting is not applicable to large and wide scenes …
counting datasets. However, single-view counting is not applicable to large and wide scenes …
Cross-view cross-scene multi-view crowd counting
Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend
the field-of-view of a single camera, capturing more people in the scene, and improve …
the field-of-view of a single camera, capturing more people in the scene, and improve …
Scene background initialization: A taxonomy
The availability of an initial background model that describes the scene without foreground
objects is the prerequisite for a wide range of applications, ranging from video surveillance …
objects is the prerequisite for a wide range of applications, ranging from video surveillance …
A smart surveillance system for people counting and tracking using particle flow and modified SOM
Based on the rapid increase in the demand for people counting and tracking systems for
surveillance applications, there is a critical need for more accurate, efficient, and reliable …
surveillance applications, there is a critical need for more accurate, efficient, and reliable …
Calibration-free multi-view crowd counting
Deep learning based multi-view crowd counting (MVCC) has been proposed to handle
scenes with large size, in irregular shape or with severe occlusions. The current MVCC …
scenes with large size, in irregular shape or with severe occlusions. The current MVCC …
Divide and count: Generic object counting by image divisions
T Stahl, SL Pintea… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a general object counting method that does not use any prior category
information. We learn from local image divisions to predict global image-level counts without …
information. We learn from local image divisions to predict global image-level counts without …
[HTML][HTML] Deep learning models for vision-based occupancy detection in high occupancy buildings
Accurate occupancy information is crucial for enhancing energy efficiency and reducing
carbon emissions in buildings. However, the inherent unpredictability of occupants …
carbon emissions in buildings. However, the inherent unpredictability of occupants …
People occupancy detection and profiling with 3D depth sensors for building energy management
In this paper, a computational framework for occupancy detection and profiling based
exclusively on depth data is presented. 3D depth sensors offer many advantages against …
exclusively on depth data is presented. 3D depth sensors offer many advantages against …