Video object recognition for UAV ground detection is widely used in target search, daily
patrol, environmental reconnaissance, and other fields. So, we propose the novel parallel …

Videos take a lot of time to transport over the network, hence running analytics on the live
video on embedded or mobile devices has become an important system driver. Considering …

With the explosive growth in video streaming comes a rising demand for efficient and
scalable video understanding. State-of-the-art video recognition approaches based on …

In comparison with static image object detection, focusing on video objects has greater
research significance in realizing intelligent monitoring and automatic anomaly detection …

Video-based behavior recognition is a challenging research topic. The three dimensional
convolution neural network (3D CNN) is effectively adopted to capture features from videos …

Object recognition is one of the research areas with good scope in most of the applications.
However, the object recognition on cloud stored data is very limited and the video based …

The challenge of adapting various object recognition techniques from still images to videos
remains unsolved. When applied to videos, methods that are specifically designed for …

Human action recognition in videos is a fundamental and important topic in computer vision,
and modeling spatial–temporal dynamics in a video is crucial for action classification. In this …

In this paper, we propose one online video object classification algorithm using fast
Similarity Network Fusion (SNF). By constructing sample-similarity network for each data …

Existing video recognition algorithms always conduct different training pipelines for inputs
with different frame numbers, which requires repetitive training operations and multiplying …