A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
[HTML][HTML] Recent trends in crowd analysis: A review
When overpopulated cities face frequent crowded events like strikes, demonstrations,
parades or other sorts of people gatherings, they are confronted to multiple security issues …
parades or other sorts of people gatherings, they are confronted to multiple security issues …
Sst: Single-stream temporal action proposals
Our paper presents a new approach for temporal detection of human actions in long,
untrimmed video sequences. We introduce Single-Stream Temporal Action Proposals (SST) …
untrimmed video sequences. We introduce Single-Stream Temporal Action Proposals (SST) …
End-to-end learning of action detection from frame glimpses in videos
In this work we introduce a fully end-to-end approach for action detection in videos that
learns to directly predict the temporal bounds of actions. Our intuition is that the process of …
learns to directly predict the temporal bounds of actions. Our intuition is that the process of …
Tube convolutional neural network (t-cnn) for action detection in videos
Deep learning has been demonstrated to achieve excellent results for image classification
and object detection. However, the impact of deep learning on video analysis (eg action …
and object detection. However, the impact of deep learning on video analysis (eg action …
Learning activity progression in lstms for activity detection and early detection
In this work we improve training of temporal deep models to better learn activity progression
for activity detection and early detection. Conventionally, when training a Recurrent Neural …
for activity detection and early detection. Conventionally, when training a Recurrent Neural …
Every moment counts: Dense detailed labeling of actions in complex videos
Every moment counts in action recognition. A comprehensive understanding of human
activity in video requires labeling every frame according to the actions occurring, placing …
activity in video requires labeling every frame according to the actions occurring, placing …
Joint representation learning and keypoint detection for cross-view geo-localization
In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …
different viewpoints. The key motivation underpinning this task is to learn a discriminative …
Anticipating human activities using object affordances for reactive robotic response
An important aspect of human perception is anticipation, which we use extensively in our
day-to-day activities when interacting with other humans as well as with our surroundings …
day-to-day activities when interacting with other humans as well as with our surroundings …
Violent flows: Real-time detection of violent crowd behavior
T Hassner, Y Itcher… - 2012 IEEE computer …, 2012 - ieeexplore.ieee.org
Although surveillance video cameras are now widely used, their effectiveness is
questionable. Here, we focus on the challenging task of monitoring crowded events for …
questionable. Here, we focus on the challenging task of monitoring crowded events for …