Abstract Video Individual Counting (VIC) aims to predict the number of unique individuals in
a single video. Existing methods learn representations based on trajectory labels for …

Although Short-Wave Infrared (SWIR) sensors have advantages in terms of robustness in
bad weather and low-light conditions, the SWIR images have not been well studied for …

Pacific salmon have experienced declining abundance and unpredictable returns, yet
remain vital to livelihoods, food security, and cultures of coastal communities around the …

Continual learning allows a model to learn multiple tasks sequentially while retaining the old
knowledge without the training data of the preceding tasks. This paper extends the scope of …

The transformer neural network architecture allows for autoregressive sequence-to-
sequence modeling through the use of attention layers. It was originally created with the …

Vision based human motion analysis encapsulates various tasks ranging from gesture
recognition, pose detection, tracking, etc. to complex behavior analysis crucial in the realms …

Video Individual Counting (VIC) aims to predict the number of unique individuals in a single
video.% Existing methods learn representations based on trajectory labels for individuals …

Abstract Multi-Target Multi-Camera (MTMC) vehicle tracking is essential in traffic analysis
and security maintenance. To associate vehicles captured by different cameras, ML-based …

Multi-camera people tracking (MCPT) has become increasingly relevant in recent years as
the demand for accurate people-tracking systems has increased along with the growing …

Aiming to solve the problem of the identity switching of objects with similar appearances in
real scenarios, a multi-object tracking approach combining contextual features and trajectory …